* (140) Shany Grossman, Guy Gaziv, Erin M. Yeagle, Michal Harel, Pierre Mégevand, David M. Groppe, Simon Khuvis, Jose L. Herrero, Michal Irani, Ashesh D. Mehta, and Rafael Malach.  Convergent evolution of face spaces across human face-selective neuronal groups and deep convolutional networks.  Nature Communications, 10(1):4934, October 2019.
  * (141) Joshua I. Glaser, Ari S. Benjamin, Roozbeh Farhoodi, and Konrad P. Kording.  The roles of supervised machine learning in systems neuroscience.  Progress in Neurobiology, 175:126–137, April 2019.
  * (142) Danilo Bzdok.  Classical Statistics and Statistical Learning in Imaging Neuroscience.  Frontiers in Neuroscience, 11, 2017.
  * (143) Etienne Combrisson and Karim Jerbi.  Exceeding chance level by chance: The caveat of theoretical chance levels in brain signal classification and statistical assessment of decoding accuracy.  Journal of Neuroscience Methods, 250:126–136, July 2015.
  * (144) Etienne Combrisson, Marcela Perrone-Bertolotti, Juan LP Soto, Golnoush Alamian, Philippe Kahane, Jean-Philippe Lachaux, Aymeric Guillot, and Karim Jerbi.  From intentions to actions: Neural oscillations encode motor processes through phase, amplitude and phase-amplitude coupling.  NeuroImage, 147:473–487, February 2017.
  * (145) Meng Wang, Guangye Li, Shize Jiang, Zixuan Wei, Jie Hu, Liang Chen, and Dingguo Zhang.  Enhancing gesture decoding performance using signals from posterior parietal cortex: A stereo-electroencephalograhy (SEEG) study.  Journal of Neural Engineering, 17(4):046043, September 2020.
  * (146) Heidi Jiang, Stephan Schuele, Joshua Rosenow, Christina Zelano, Josef Parvizi, James X. Tao, Shasha Wu, and Jay A. Gottfried.  Theta Oscillations Rapidly Convey Odor-Specific Content in Human Piriform Cortex.  Neuron, 94(1):207–219.e4, April 2017.
  * (147) Hesheng Liu, Yigal Agam, Joseph R. Madsen, and Gabriel Kreiman.  Timing, timing, timing: Fast decoding of object information from intracranial field potentials in human visual cortex.  Neuron, 62(2):281–290, April 2009.
  * (148) Leyla Isik, Jedediah Singer, Joseph R. Madsen, Nancy Kanwisher, and Gabriel Kreiman.  What is changing when: Decoding visual information in movies from human intracranial recordings.  NeuroImage, 180(Pt A):147–159, October 2018.
  * (149) M. E. van de Nieuwenhuijzen, N. Axmacher, J. Fell, C. R. Oehrn, O. Jensen, and M. a. J. van Gerven.  Decoding of task-relevant and task-irrelevant intracranial EEG representations.  NeuroImage, 137:132–139, August 2016.
  * (150) Afarin Famili, Gowtham Krishnan, Elizabeth Davenport, James Germi, Ben Wagner, Bradley Lega, and Albert Montillo.  Automatic Identification of Successful Memory Encoding in Stereo EEG of Refractory, Mesial Temporal Lobe Epilepsy.  Proceedings. IEEE International Symposium on Biomedical Imaging, 2017:587–590, April 2017.
  * (151) Soyeon Jun, June Sic Kim, and Chun Kee Chung.  Prediction of Successful Memory Encoding Based on Lateral Temporal Cortical Gamma Power.  Frontiers in Neuroscience, 15, 2021.
  * (152) Thomas Thiery, Anne-Lise Saive, Etienne Combrisson, Arthur Dehgan, Julien Bastin, Philippe Kahane, Alain Berthoz, Jean-Philippe Lachaux, and Karim Jerbi.  Decoding the neural dynamics of free choice in humans.  PLoS biology, 18(12):e3000864, December 2020.
  * (153) Marije Ter Wal, Artem Platonov, Pasquale Cardellicchio, Veronica Pelliccia, Giorgio LoRusso, Ivana Sartori, Pietro Avanzini, Guy A. Orban, and Paul H. E. Tiesinga.  Human stereoEEG recordings reveal network dynamics of decision-making in a rule-switching task.  Nature Communications, 11(1):3075, June 2020.
  * (154) Andrew J. Watrous, Lorena Deuker, Juergen Fell, and Nikolai Axmacher.  Phase-amplitude coupling supports phase coding in human ECoG.  eLife, 4, August 2015.
  * (155) Marlene Höhne, Amirhossein Jahanbekam, Christian Bauckhage, Nikolai Axmacher, and Juergen Fell.  Prediction of successful memory encoding based on single-trial rhinal and hippocampal phase information.  NeuroImage, 139:127–135, October 2016.
  * (156) Ilya Kuzovkin, Juan R Vidal, Marcela Perrone-Bertolotti, Philippe Kahane, Sylvain Rheims, Jaan Aru, Jean-Philippe Lachaux, and Raúl Vicente.  Identifying task-relevant spectral signatures of perceptual categorization in the human cortex.  Scientific reports, 10(1):1–17, 2020.
  * (157) Ido Davidesco, Elana Zion-Golumbic, Stephan Bickel, Michal Harel, David M. Groppe, Corey J. Keller, Catherine A. Schevon, Guy M. McKhann, Robert R. Goodman, Gadi Goelman, Charles E. Schroeder, Ashesh D. Mehta, and Rafael Malach.  Exemplar selectivity reflects perceptual similarities in the human fusiform cortex.  Cerebral Cortex (New York, N.Y.: 1991), 24(7):1879–1893, July 2014\.
  * (158) Meagan Lee Whaley, Cihan Mehmet Kadipasaoglu, Steven James Cox, and Nitin Tandon.  Modulation of Orthographic Decoding by Frontal Cortex.  The Journal of Neuroscience: The Official Journal of the Society for Neuroscience, 36(4):1173–1184, January 2016.
  * (159) Kirill V. Nourski, Mitchell Steinschneider, Hiroyuki Oya, Hiroto Kawasaki, Robert D. Jones, and Matthew A. Howard.  Spectral organization of the human lateral superior temporal gyrus revealed by intracranial recordings.  Cerebral Cortex (New York, N.Y.: 1991), 24(2):340–352, February 2014.
  * (160) Youssef Ezzyat, James E. Kragel, John F. Burke, Deborah F. Levy, Anastasia Lyalenko, Paul Wanda, Logan O’Sullivan, Katherine B. Hurley, Stanislav Busygin, Isaac Pedisich, Michael R. Sperling, Gregory A. Worrell, Michal T. Kucewicz, Kathryn A. Davis, Timothy H. Lucas, Cory S. Inman, Bradley C. Lega, Barbara C. Jobst, Sameer A. Sheth, Kareem Zaghloul, Michael J. Jutras, Joel M. Stein, Sandhitsu R. Das, Richard Gorniak, Daniel S. Rizzuto, and Michael J. Kahana.  Direct Brain Stimulation Modulates Encoding States and Memory Performance in Humans.  Current biology : CB, 27(9):1251–1258, May 2017.
  * (161) Gaël Varoquaux.  Cross-validation failure: Small sample sizes lead to large error bars.  NeuroImage, 180(Pt A):68–77, October 2018.
  * (162) Kenneth A. Norman, Sean M. Polyn, Greg J. Detre, and James V. Haxby.  Beyond mind-reading: Multi-voxel pattern analysis of fMRI data.  Trends in Cognitive Sciences, 10(9):424–430, September 2006.
  * (163) John-Dylan Haynes.  A Primer on Pattern-Based Approaches to fMRI: Principles, Pitfalls, and Perspectives.  Neuron, 87(2):257–270, July 2015.
  * (164) John-Dylan Haynes and Geraint Rees.  Decoding mental states from brain activity in humans.  Nature Reviews Neuroscience, 7(7):523–534, July 2006.
  * (165) Yukiyasu Kamitani and Frank Tong.  Decoding the visual and subjective contents of the human brain.  Nature Neuroscience, 8(5):679–685, May 2005.
  * (166) James V. Haxby, M. Ida Gobbini, Maura L. Furey, Alumit Ishai, Jennifer L. Schouten, and Pietro Pietrini.  Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex.  Science, 293(5539):2425–2430, September 2001.
  * (167) J.-R. King and S. Dehaene.  Characterizing the dynamics of mental representations: The temporal generalization method.  Trends in Cognitive Sciences, 18(4):203–210, April 2014.
  * (168) Jean-Rémi King, Alexandre Gramfort, Aaron Schurger, Lionel Naccache, and Stanislas Dehaene.  Two Distinct Dynamic Modes Subtend the Detection of Unexpected Sounds.  PLOS ONE, 9(1):e85791, January 2014.
  * (169) Mark G. Stokes, Makoto Kusunoki, Natasha Sigala, Hamed Nili, David Gaffan, and John Duncan.  Dynamic Coding for Cognitive Control in Prefrontal Cortex.  Neuron, 78(2):364–375, April 2013.
  * (170) Naotsugu Tsuchiya, Hiroto Kawasaki, Hiroyuki Oya, Matthew A. Howard Iii, and Ralph Adolphs.  Decoding Face Information in Time, Frequency and Space from Direct Intracranial Recordings of the Human Brain.  PLOS ONE, 3(12):e3892, December 2008.
  * (171) Alex Gonzalez, J. Benjamin Hutchinson, Melina R. Uncapher, Janice Chen, Karen F. LaRocque, Brett L. Foster, Vinitha Rangarajan, Josef Parvizi, and Anthony D. Wagner.  Electrocorticography reveals the temporal dynamics of posterior parietal cortical activity during recognition memory decisions.  Proceedings of the National Academy of Sciences, 112(35):11066–11071, September 2015.
  * (172) James E. Kragel, Youssef Ezzyat, Michael R. Sperling, Richard Gorniak, Gregory A. Worrell, Brent M. Berry, Cory Inman, Jui-Jui Lin, Kathryn A. Davis, Sandhitsu R. Das, Joel M. Stein, Barbara C. Jobst, Kareem A. Zaghloul, Sameer A. Sheth, Daniel S. Rizzuto, and Michael J. Kahana.  Similar patterns of neural activity predict memory function during encoding and retrieval.  NeuroImage, 155:60–71, July 2017.
  * (173) Blake A. Richards, Timothy P. Lillicrap, Philippe Beaudoin, Yoshua Bengio, Rafał Bogacz, Amelia J. Christensen, Claudia Clopath, Rui Ponte Costa, Archy O. de Berker, Surya Ganguli, Colleen J. Gillon, Danijar Hafner, Adam Kepecs, Nikolaus Kriegeskorte, Peter E. Latham, Grace W. Lindsay, Kenneth D. Miller, Richard Naud, Christopher C. Pack, P. Poirazi, Pieter R. Roelfsema, João Sacramento, Andrew M. Saxe, Benjamin Scellier, Anna C. Schapiro, Walter Senn, Greg Wayne, Daniel L. K. Yamins, Friedemann Zenke, Joel Zylberberg, Denis Thérien, and Konrad Paul Kording.  A deep learning framework for neuroscience.  Nature Neuroscience, 22:1761–1770, 2019.
  * (174) Yoshua Bengio, Aaron Courville, and Pascal Vincent.  Representation learning: A review and new perspectives.  IEEE Transactions on Pattern Analysis and Machine Intelligence, 35(8):1798–1828, 2013.
  * (175) Felix Grün, C. Rupprecht, Nassir Navab, and Federico Tombari.  A taxonomy and library for visualizing learned features in convolutional neural networks.  ArXiv, abs/1606.07757, 2016.
  * (176) Jost Tobias Springenberg, Alexey Dosovitskiy, Thomas Brox, and Martin A. Riedmiller.  Striving for simplicity: The all convolutional net.  CoRR, abs/1412.6806, 2015.
  * (177) Hongming Li and Yong Fan.  Interpretable, highly accurate brain decoding of subtly distinct brain states from functional mri using intrinsic functional networks and long short-term memory recurrent neural networks.  NeuroImage, 202:116059, 2019.
  * (178) Katja Seeliger, Umut Güçlü, Luca Ambrogioni, Yagmur Güçlütürk, and Marcel AJ van Gerven.  Generative adversarial networks for reconstructing natural images from brain activity.  NeuroImage, 181:775–785, 2018.
  * (179) Lynn Le, Luca Ambrogioni, Katja Seeliger, Yağmur Güçlütürk, Marcel van Gerven, and Umut Güçlü.  Brain2pix: Fully convolutional naturalistic video reconstruction from brain activity.  BioRxiv, 2021.
  * (180) Thirza Dado, Yağmur Güçlütürk, Luca Ambrogioni, Gabriëlle Ras, Sander Bosch, Marcel van Gerven, and Umut Güçlü.  Hyperrealistic neural decoding for reconstructing faces from fmri activations via the gan latent space.  Scientific reports, 12(1):1–9, 2022.
  * (181) Itzik Malkiel, Gony Rosenman, Lior Wolf, and Talma Hendler.  Pre-training and fine-tuning transformers for fmri prediction tasks.  arXiv preprint arXiv:2112.05761, 2021.
  * (182) Maurice Abou Jaoude, Jin Jing, Haoqi Sun, Claire S. Jacobs, Kyle R. Pellerin, M. Brandon Westover, Sydney S. Cash, and Alice D. Lam.  Detection of mesial temporal lobe epileptiform discharges on intracranial electrodes using deep learning.  Clinical Neurophysiology: Official Journal of the International Federation of Clinical Neurophysiology, 131(1):133–141, January 2020.
  * (183) Maurice Abou Jaoude, Claire S. Jacobs, Rani A. Sarkis, Jin Jing, Kyle R. Pellerin, Andrew J. Cole, Sydney S. Cash, M. Brandon Westover, and Alice D. Lam.  Noninvasive Detection of Hippocampal Epileptiform Activity on Scalp Electroencephalogram.  JAMA neurology, 79(6):614–622, June 2022.
  * (184) David Ahmedt-Aristizabal, Clinton Fookes, Sasha Dionisio, Kien Nguyen, João Paulo S. Cunha, and Sridha Sridharan.  Automated analysis of seizure semiology and brain electrical activity in presurgery evaluation of epilepsy: A focused survey.  Epilepsia, 58(11):1817–1831, November 2017.
  * (185) Andreas Antoniades, Loukianos Spyrou, David Martin-Lopez, Antonio Valentin, Gonzalo Alarcon, Saeid Sanei, and Clive Cheong Took.  Detection of Interictal Discharges With Convolutional Neural Networks Using Discrete Ordered Multichannel Intracranial EEG.  IEEE transactions on neural systems and rehabilitation engineering: a publication of the IEEE Engineering in Medicine and Biology Society, 25(12):2285–2294, December 2017.
  * (186) Andreas Antoniades, Loukianos Spyrou, David Martin-Lopez, Antonio Valentin, Gonzalo Alarcon, Saeid Sanei, and Clive Cheong Took.  Deep Neural Architectures for Mapping Scalp to Intracranial EEG.  International Journal of Neural Systems, 28(8):1850009, October 2018\.
  * (187) Alessio Burrello, Kaspar Schindler, Luca Benini, and Abbas Rahimi.  Hyperdimensional Computing With Local Binary Patterns: One-Shot Learning of Seizure Onset and Identification of Ictogenic Brain Regions Using Short-Time iEEG Recordings.  IEEE transactions on bio-medical engineering, 67(2):601–613, February 2020.
  * (188) Joseph Caffarini, Klevest Gjini, Brinda Sevak, Roger Waleffe, Mariel Kalkach-Aparicio, Melanie Boly, and Aaron F. Struck.  Engineering nonlinear epileptic biomarkers using deep learning and Benford’s law.  Scientific Reports, 12(1):5397, March 2022.
  * (189) Yoon Gi Chung, Yonghoon Jeon, Sun Ah Choi, Anna Cho, Hunmin Kim, Hee Hwang, and Ki Joong Kim.  Deep Convolutional Neural Network Based Interictal-Preictal Electroencephalography Prediction: Application to Focal Cortical Dysplasia Type-II.  Frontiers in Neurology, 11:594679, 2020.
  * (190) Shota Yamamoto, Takufumi Yanagisawa, Ryohei Fukuma, Satoru Oshino, Naoki Tani, Hui Ming Khoo, Kohtaroh Edakawa, Maki Kobayashi, Masataka Tanaka, Yuya Fujita, and Haruhiko Kishima.  Data-driven electrophysiological feature based on deep learning to detect epileptic seizures.  Journal of Neural Engineering, 18(5), September 2021.
  * (191) Hiroaki Hashimoto, Seiji Kameda, Hitoshi Maezawa, Satoru Oshino, Naoki Tani, Hui Ming Khoo, Takufumi Yanagisawa, Toshiki Yoshimine, Haruhiko Kishima, and Masayuki Hirata.  A Swallowing Decoder Based on Deep Transfer Learning: AlexNet Classification of the Intracranial Electrocorticogram.  International Journal of Neural Systems, 31(11):2050056, November 2021.
  * (192) Jathurshan Pradeepkumar, Mithunjha Anandakumar, Vinith Kugathasan, Thilina D. Lalitharatne, Anjula C. De Silva, and Simon L. Kappel.  Decoding of Hand Gestures from Electrocorticography with LSTM Based Deep Neural Network.  Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2021:420–423, November 2021.
  * (193) Maciej Śliwowski, Matthieu Martin, Antoine Souloumiac, Pierre Blanchart, and Tetiana Aksenova.  Decoding ecog signal into 3d hand translation using deep learning.  Journal of Neural Engineering, 19(2):026023, 2022.
  * (194) Ziqian Xie, Odelia Schwartz, and Abhishek Prasad.  Decoding of finger trajectory from ECoG using deep learning.  Journal of Neural Engineering, 15(3):036009, June 2018.
  * (195) Tonio Ball, Markus Kern, Isabella Mutschler, Ad Aertsen, and Andreas Schulze-Bonhage.  Signal quality of simultaneously recorded invasive and non-invasive eeg.  Neuroimage, 46(3):708–716, 2009.
  * (196) Jonathan R Wolpaw, Niels Birbaumer, Dennis J McFarland, Gert Pfurtscheller, and Theresa M Vaughan.  Brain–computer interfaces for communication and control.  Clinical neurophysiology, 113(6):767–791, 2002.
  * (197) Niels Birbaumer and Leonardo G Cohen.  Brain–computer interfaces: communication and restoration of movement in paralysis.  The Journal of physiology, 579(3):621–636, 2007.
  * (198) Eric C Leuthardt, Gerwin Schalk, Jarod Roland, Adam Rouse, and Daniel W Moran.  Evolution of brain-computer interfaces: going beyond classic motor physiology.  Neurosurgical focus, 27(1):E4, 2009.
  * (199) Daniel Moran.  Evolution of brain–computer interface: action potentials, local field potentials and electrocorticograms.  Current opinion in neurobiology, 20(6):741–745, 2010.
  * (200) Jerry J Shih, Dean J Krusienski, and Jonathan R Wolpaw.  Brain-computer interfaces in medicine.  In Mayo clinic proceedings, volume 87, pages 268–279. Elsevier, 2012.
  * (201) Shreya Chakrabarti, Hilary M Sandberg, Jonathan S Brumberg, and Dean J Krusienski.  Progress in speech decoding from the electrocorticogram.  Biomedical Engineering Letters, 5(1):10–21, 2015.
  * (202) Stephanie Martin, José del R Millán, Robert T Knight, and Brian N Pasley.  The use of intracranial recordings to decode human language: Challenges and opportunities.  Brain and language, 193:73–83, 2019.
  * (203) Christian Herff, Dean J Krusienski, and Pieter Kubben.  The potential of stereotactic-eeg for brain-computer interfaces: current progress and future directions.  Frontiers in neuroscience, 14:123, 2020.
  * (204) Kai J Miller, Dora Hermes, and Nathan P Staff.  The current state of electrocorticography-based brain–computer interfaces.  Neurosurgical focus, 49(1):E2, 2020.
  * (205) Gernot Müller-Putz.  Invasive bci approaches for restoration of upper extremity movements.  In Neuroprosthetics and Brain-Computer Interfaces in Spinal Cord Injury, pages 217–232. Springer, 2021.
  * (206) Simanto Saha, Khondaker A Mamun, Khawza Ahmed, Raqibul Mostafa, Ganesh R Naik, Sam Darvishi, Ahsan H Khandoker, and Mathias Baumert.  Progress in brain computer interface: challenges and opportunities.  Frontiers in Systems Neuroscience, page 4, 2021.
  * (207) Adrien B Rapeaux and Timothy G Constandinou.  Implantable brain machine interfaces: first-in-human studies, technology challenges and trends.  Current opinion in biotechnology, 72:102–111, 2021.
  * (208) Aspen Workgroup.  Recommendations for use of uniform nomenclature pertinent to patients with severe alterations in consciousness. american congress of rehabilitation medicine.  Arch. Phys. Med. Rehabil, 76:205–209, 1995.
  * (209) Jennifer E Doble, Andrew J Haig, Christopher Anderson, and Richard Katz.  Impairment, activity, participation, life satisfaction, and survival in persons with locked-in syndrome for over a decade.  Journal of Head Trauma Rehabilitation, 18(5):435–444, September 2003.
  * (210) Steven Laureys, Frédéric Pellas, Philippe Van Eeckhout, Sofiane Ghorbel, Caroline Schnakers, Fabien Perrin, Jacques Berre, Marie-Elisabeth Faymonville, Karl-Heinz Pantke, Francois Damas, et al.  The locked-in syndrome: what is it like to be conscious but paralyzed and voiceless?  Progress in brain research, 150:495–611, 2005.
  * (211) RA Robbins, Z Simmons, BA Bremer, SM Walsh, and S Fischer.  Quality of life in als is maintained as physical function declines.  Neurology, 56(4):442–444, 2001.
  * (212) Christian Neudert, Maria Wasner, and Gian Domenico Borasio.  Individual quality of life is not correlated with health-related quality of life or physical function in patients with amyotrophic lateral sclerosis.  Journal of palliative medicine, 7(4):551–557, 2004.
  * (213) Dorothée Lulé, Sonja Häcker, Albert Ludolph, Niels Birbaumer, and Andrea Kübler.  Depression and quality of life in patients with amyotrophic lateral sclerosis.  Deutsches Ärzteblatt International, 105(23):397, 2008.
  * (214) Dorothée Lulé, Claudia Zickler, Sonja Häcker, Marie-Aurelie Bruno, Athena Demertzi, Frederic Pellas, Steven Laureys, and A Kübler.  Life can be worth living in locked-in syndrome.  Progress in brain research, 177:339–351, 2009.
  * (215) Katharina Linse, Wolfgang Rüger, Markus Joos, Henning Schmitz-Peiffer, Alexander Storch, and Andreas Hermann.  Eye-tracking–based assessment suggests preserved well-being in locked-in patients.  Annals of Neurology, 81(2):310–315, 2017.
  * (216) Marie-Aurélie Bruno, Jan L Bernheim, Didier Ledoux, Frédéric Pellas, Athena Demertzi, and Steven Laureys.  A survey on self-assessed well-being in a cohort of chronic locked-in syndrome patients: happy majority, miserable minority.  BMJ open, 1(1):e000039, 2011.
  * (217) Marie-Christine Rousseau, Karine Baumstarck, Marine Alessandrini, Véronique Blandin, Thierry Billette de Villemeur, and Pascal Auquier.  Quality of life in patients with locked-in syndrome: Evolution over a 6-year period.  Orphanet journal of rare diseases, 10(1):1–8, 2015.
  * (218) Jayashree Santhosh, Manvir Bhatia, Shweta Sahu, Sneh Anand, et al.  Decreased electroencephalogram alpha band [8-13 hz] power in amyotrophic lateral sclerosis patients: a study of alpha activity in an awake relaxed state.  Neurology India, 53(1):99, 2005.
  * (219) Claudio Babiloni, Francesca Pistoia, Marco Sarà, Fabrizio Vecchio, Paola Buffo, Massimiliano Conson, Paolo Onorati, Giorgio Albertini, and Paolo Maria Rossini.  Resting state eyes-closed cortical rhythms in patients with locked-in-syndrome: an eeg study.  Clinical Neurophysiology, 121(11):1816–1824, 2010.
  * (220) Parameswaran Mahadeva Iyer, Catriona Egan, Marta Pinto-Grau, Tom Burke, Marwa Elamin, Bahman Nasseroleslami, Niall Pender, Edmund C Lalor, and Orla Hardiman.  Functional connectivity changes in resting-state eeg as potential biomarker for amyotrophic lateral sclerosis.  PloS one, 10(6):e0128682, 2015.
  * (221) A Geronimo, Z Simmons, and SJ Schiff.  Performance predictors of brain–computer interfaces in patients with amyotrophic lateral sclerosis.  Journal of neural engineering, 13(2):026002, 2016.
  * (222) Chethan Pandarinath, Vikash Gilja, Christine H Blabe, Paul Nuyujukian, Anish A Sarma, Brittany L Sorice, Emad N Eskandar, Leigh R Hochberg, Jaimie M Henderson, and Krishna V Shenoy.  Neural population dynamics in human motor cortex during movements in people with als.  Elife, 4:e07436, 2015.
  * (223) Mariska J Vansteensel, Elmar GM Pels, Martin G Bleichner, Mariana P Branco, Timothy Denison, Zachary V Freudenburg, Peter Gosselaar, Sacha Leinders, Thomas H Ottens, Max A Van Den Boom, et al.  Fully implanted brain–computer interface in a locked-in patient with als.  New England Journal of Medicine, 375(21):2060–2066, 2016.
  * (224) Thomas J Oxley, Peter E Yoo, Gil S Rind, Stephen M Ronayne, CM Sarah Lee, Christin Bird, Victoria Hampshire, Rahul P Sharma, Andrew Morokoff, Daryl L Williams, et al.  Motor neuroprosthesis implanted with neurointerventional surgery improves capacity for activities of daily living tasks in severe paralysis: first in-human experience.  Journal of neurointerventional surgery, 13(2):102–108, 2021.
  * (225) Sanne Kikkert, James Kolasinski, Saad Jbabdi, Irene Tracey, Christian F Beckmann, Heidi Johansen-Berg, and Tamar R Makin.  Revealing the neural fingerprints of a missing hand.  Elife, 5:e15292, 2016.
  * (226) Mark LCM Bruurmijn, Isabelle PL Pereboom, Mariska J Vansteensel, Mathijs AH Raemaekers, and Nick F Ramsey.  Preservation of hand movement representation in the sensorimotor areas of amputees.  Brain, 140(12):3166–3178, 2017.
  * (227) Frank H Guenther, Jonathan S Brumberg, E Joseph Wright, Alfonso Nieto-Castanon, Jason A Tourville, Mikhail Panko, Robert Law, Steven A Siebert, Jess L Bartels, Dinal S Andreasen, et al.  A wireless brain-machine interface for real-time speech synthesis.  PloS one, 4(12):e8218, 2009.
  * (228) Zachary V Freudenburg, Mariana P Branco, Sacha Leinders, Benny H Vijgh, Elmar GM Pels, Timothy Denison, Leonard H Berg, Kai J Miller, Erik J Aarnoutse, Nick F Ramsey, et al.  Sensorimotor ecog signal features for bci control: a comparison between people with locked-in syndrome and able-bodied controls.  Frontiers in neuroscience, page 1058, 2019.
  * (229) Eric C Leuthardt, Charles Gaona, Mohit Sharma, Nicholas Szrama, Jarod Roland, Zac Freudenberg, Jamie Solis, Jonathan Breshears, and Gerwin Schalk.  Using the electrocorticographic speech network to control a brain–computer interface in humans.  Journal of neural engineering, 8(3):036004, 2011.
  * (230) Xiaomei Pei, Dennis L Barbour, Eric C Leuthardt, and Gerwin Schalk.  Decoding vowels and consonants in spoken and imagined words using electrocorticographic signals in humans.  Journal of neural engineering, 8(4):046028, 2011.
  * (231) Stéphanie Martin, Peter Brunner, Chris Holdgraf, Hans-Jochen Heinze, Nathan E Crone, Jochem Rieger, Gerwin Schalk, Robert T Knight, and Brian N Pasley.  Decoding spectrotemporal features of overt and covert speech from the human cortex.  Frontiers in neuroengineering, 7:14, 2014.
  * (232) Jonathan S Brumberg, Dean J Krusienski, Shreya Chakrabarti, Aysegul Gunduz, Peter Brunner, Anthony L Ritaccio, and Gerwin Schalk.  Spatio-temporal progression of cortical activity related to continuous overt and covert speech production in a reading task.  PloS one, 11(11):e0166872, 2016.
  * (233) Miguel Angrick, Maarten C Ottenhoff, Lorenz Diener, Darius Ivucic, Gabriel Ivucic, Sophocles Goulis, Jeremy Saal, Albert J Colon, Louis Wagner, Dean J Krusienski, et al.  Real-time synthesis of imagined speech processes from minimally invasive recordings of neural activity.  Communications biology, 4(1):1–10, 2021.
  * (234) Dora Hermes, Mariska J Vansteensel, Anke Marit Albers, Martin G Bleichner, Marije R Benedictus, C Mendez Orellana, EJ Aarnoutse, and NF Ramsey.  Functional mri-based identification of brain areas involved in motor imagery for implantable brain–computer interfaces.  Journal of neural engineering, 8(2):025007, 2011.
  * (235) Gwijde Maegherman, Helen E Nuttall, Joseph T Devlin, and Patti Adank.  Motor imagery of speech: the involvement of primary motor cortex in manual and articulatory motor imagery.  Frontiers in human neuroscience, page 195, 2019.
  * (236) Duk Shin, Hidenori Watanabe, Hiroyuki Kambara, Atsushi Nambu, Tadashi Isa, Yukio Nishimura, and Yasuharu Koike.  Prediction of muscle activities from electrocorticograms in primary motor cortex of primates.  PloS one, 7(10):e47992, 2012.
  * (237) Chao Chen, Duk Shin, Hidenori Watanabe, Yasuhiko Nakanishi, Hiroyuki Kambara, Natsue Yoshimura, Atsushi Nambu, Tadashi Isa, Yukio Nishimura, and Yasuharu Koike.  Prediction of hand trajectory from electrocorticography signals in primary motor cortex.  PloS one, 8(12):e83534, 2013.
  * (238) Tatsuya Umeda, Masashi Koizumi, Yuko Katakai, Ryoichi Saito, and Kazuhiko Seki.  Decoding of muscle activity from the sensorimotor cortex in freely behaving monkeys.  Neuroimage, 197:512–526, 2019.
  * (239) Friedemann Pulvermüller, Martina Huss, Ferath Kherif, Fermin Moscoso del Prado Martin, Olaf Hauk, and Yury Shtyrov.  Motor cortex maps articulatory features of speech sounds.  Proceedings of the National Academy of Sciences, 103(20):7865–7870, 2006.
  * (240) Kristofer E Bouchard, Nima Mesgarani, Keith Johnson, and Edward F Chang.  Functional organization of human sensorimotor cortex for speech articulation.  Nature, 495(7441):327–332, 2013.
  * (241) Mariana P Branco, Zachary V Freudenburg, Erik J Aarnoutse, Martin G Bleichner, Mariska J Vansteensel, and Nick F Ramsey.  Decoding hand gestures from primary somatosensory cortex using high-density ecog.  NeuroImage, 147:130–142, 2017.
  * (242) Spencer Kellis, Kai Miller, Kyle Thomson, Richard Brown, Paul House, and Bradley Greger.  Decoding spoken words using local field potentials recorded from the cortical surface.  Journal of neural engineering, 7(5):056007, 2010.
  * (243) Xiaomei Pei, Eric C Leuthardt, Charles M Gaona, Peter Brunner, Jonathan R Wolpaw, and Gerwin Schalk.  Spatiotemporal dynamics of electrocorticographic high gamma activity during overt and covert word repetition.  Neuroimage, 54(4):2960–2972, 2011.
  * (244) Shigeyuki Ikeda, Tomohiro Shibata, Naoki Nakano, Rieko Okada, Naohiro Tsuyuguchi, Kazushi Ikeda, and Amami Kato.  Neural decoding of single vowels during covert articulation using electrocorticography.  Frontiers in Human Neuroscience, 8:125, 2014.
  * (245) Vasileios G Kanas, Iosif Mporas, Heather L Benz, Kyriakos N Sgarbas, Anastasios Bezerianos, and Nathan E Crone.  Joint spatial-spectral feature space clustering for speech activity detection from ecog signals.  IEEE Transactions on Biomedical Engineering, 61(4):1241–1250, 2014\.
  * (246) Christian Herff, Dominic Heger, Adriana De Pesters, Dominic Telaar, Peter Brunner, Gerwin Schalk, and Tanja Schultz.  Brain-to-text: decoding spoken phrases from phone representations in the brain.  Frontiers in neuroscience, 9:217, 2015.
  * (247) Stephanie Martin, Peter Brunner, Iñaki Iturrate, José del R Millán, Gerwin Schalk, Robert T Knight, and Brian N Pasley.  Word pair classification during imagined speech using direct brain recordings.  Scientific reports, 6(1):1–12, 2016.
  * (248) Gregory Hickok and David Poeppel.  The cortical organization of speech processing.  Nature reviews neuroscience, 8(5):393–402, 2007.
  * (249) Angela D Friederici.  The brain basis of language processing: from structure to function.  Physiological reviews, 91(4):1357–1392, 2011.
  * (250) David T Bundy, Mrinal Pahwa, Nicholas Szrama, and Eric C Leuthardt.  Decoding three-dimensional reaching movements using electrocorticographic signals in humans.  Journal of neural engineering, 13(2):026021, 2016.
  * (251) Martin G Bleichner, Zachary V Freudenburg, Johannus Martijn Jansma, Erik J Aarnoutse, Mariska J Vansteensel, and Nick Franciscus Ramsey.  Give me a sign: decoding four complex hand gestures based on high-density ecog.  Brain Structure and Function, 221(1):203–216, 2016.
  * (252) Yue Li, Shaomin Zhang, Yile Jin, Bangyu Cai, Marco Controzzi, Junming Zhu, Jianmin Zhang, and Xiaoxiang Zheng.  Gesture decoding using ecog signals from human sensorimotor cortex: a pilot study.  Behavioural neurology, 2017, 2017.
  * (253) Gang Pan, Jia-Jun Li, Yu Qi, Hang Yu, Jun-Ming Zhu, Xiao-Xiang Zheng, Yue-Ming Wang, and Shao-Min Zhang.  Rapid decoding of hand gestures in electrocorticography using recurrent neural networks.  Frontiers in neuroscience, page 555, 2018.
  * (254) Maxime Verwoert, Mariska J Vansteensel, Zachary V Freudenburg, Erik J Aarnoutse, Frans SS Leijten, Nick F Ramsey, and Mariana P Branco.  Decoding four hand gestures with a single bipolar pair of electrocorticography electrodes.  Journal of Neural Engineering, 18(5):056065, 2021.
  * (255) Matthew K Leonard, Ben Lucas, Shane Blau, David P Corina, and Edward F Chang.  Cortical encoding of manual articulatory and linguistic features in american sign language.  Current Biology, 30(22):4342–4351, 2020.
  * (256) E Salari, ZV Freudenburg, MP Branco, EJ Aarnoutse, MJ Vansteensel, and NF Ramsey.  Classification of articulator movements and movement direction from sensorimotor cortex activity.  Scientific reports, 9(1):1–12, 2019.
  * (257) Efraïm Salari, Zachary V Freudenburg, Mariska J Vansteensel, and Nick F Ramsey.  Classification of facial expressions for intended display of emotions using brain–computer interfaces.  Annals of Neurology, 88(3):631–636, 2020.
  * (258) Tim Blakely, Kai J Miller, Stavros P Zanos, Rajesh PN Rao, and Jeffrey G Ojemann.  Robust, long-term control of an electrocorticographic brain-computer interface with fixed parameters.  Neurosurgical focus, 27(1):E13, 2009.
  * (259) Hubert Cecotti.  Spelling with non-invasive brain–computer interfaces–current and future trends.  Journal of Physiology-Paris, 105(1-3):106–114, 2011.
  * (260) Timothy Blakely, Kai J Miller, Rajesh PN Rao, Mark D Holmes, and Jeffrey G Ojemann.  Localization and classification of phonemes using high spatial resolution electrocorticography (ecog) grids.  In 2008 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 4964–4967. IEEE, 2008.
  * (261) Emily M Mugler, James L Patton, Robert D Flint, Zachary A Wright, Stephan U Schuele, Joshua Rosenow, Jerry J Shih, Dean J Krusienski, and Marc W Slutzky.  Direct classification of all american english phonemes using signals from functional speech motor cortex.  Journal of neural engineering, 11(3):035015, 2014.
  * (262) Kristofer E Bouchard and Edward F Chang.  Neural decoding of spoken vowels from human sensory-motor cortex with high-density electrocorticography.  In 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 6782–6785. IEEE, 2014.
  * (263) Nick F Ramsey, Efraïm Salari, Erik J Aarnoutse, Mariska J Vansteensel, Martin G Bleichner, and ZV Freudenburg.  Decoding spoken phonemes from sensorimotor cortex with high-density ecog grids.  Neuroimage, 180:301–311, 2018.
  * (264) Jesse A Livezey, Kristofer E Bouchard, and Edward F Chang.  Deep learning as a tool for neural data analysis: speech classification and cross-frequency coupling in human sensorimotor cortex.  PLoS computational biology, 15(9):e1007091, 2019.
  * (265) Dan Zhang, Enhao Gong, Wei Wu, Jiuluan Lin, Wenjing Zhou, and Bo Hong.  Spoken sentences decoding based on intracranial high gamma response using dynamic time warping.  In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 3292–3295. IEEE, 2012.
  * (266) Christian Herff, Lorenz Diener, Miguel Angrick, Emily Mugler, Matthew C Tate, Matthew A Goldrick, Dean J Krusienski, Marc W Slutzky, and Tanja Schultz.  Generating natural, intelligible speech from brain activity in motor, premotor, and inferior frontal cortices.  Frontiers in neuroscience, 13:1267, 2019.
  * (267) Brian N Pasley, Stephen V David, Nima Mesgarani, Adeen Flinker, Shihab A Shamma, Nathan E Crone, Robert T Knight, and Edward F Chang.  Reconstructing speech from human auditory cortex.  PLoS biology, 10(1):e1001251, 2012.
  * (268) Jonas Kohler, Maarten C Ottenhoff, Sophocles Goulis, Miguel Angrick, Albert J Colon, Louis Wagner, Simon Tousseyn, Pieter L Kubben, and Christian Herff.  Synthesizing speech from intracranial depth electrodes using an encoder-decoder framework.  arXiv preprint arXiv:2111.01457, 2021.
  * (269) Francis R Willett, Donald T Avansino, Leigh R Hochberg, Jaimie M Henderson, and Krishna V Shenoy.  High-performance brain-to-text communication via handwriting.  Nature, 593(7858):249–254, 2021.
  * (270) Marcel Van Gerven, Jason Farquhar, Rebecca Schaefer, Rutger Vlek, Jeroen Geuze, Anton Nijholt, Nick Ramsey, Pim Haselager, Louis Vuurpijl, Stan Gielen, et al.  The brain–computer interface cycle.  Journal of neural engineering, 6(4):041001, 2009.
  * (271) Luis Fernando Nicolas-Alonso and Jaime Gomez-Gil.  Brain computer interfaces, a review.  sensors, 12(2):1211–1279, 2012.
  * (272) Jonathan S Brumberg, E Joe Wright, Dinal S Andreasen, Frank H Guenther, and Philip R Kennedy.  Classification of intended phoneme production from chronic intracortical microelectrode recordings in speech motor cortex.  Frontiers in neuroscience, 5:65, 2011.
  * (273) Gopala K Anumanchipalli, Josh Chartier, and Edward F Chang.  Speech synthesis from neural decoding of spoken sentences.  Nature, 568(7753):493–498, 2019.
  * (274) Hassan Akbari, Bahar Khalighinejad, Jose L Herrero, Ashesh D Mehta, and Nima Mesgarani.  Towards reconstructing intelligible speech from the human auditory cortex.  Scientific reports, 9(1):1–12, 2019.
  * (275) Joseph G Makin, David A Moses, and Edward F Chang.  Machine translation of cortical activity to text with an encoder–decoder framework.  Nature neuroscience, 23(4):575–582, 2020.
  * (276) Pengfei Sun, Gopala K Anumanchipalli, and Edward F Chang.  Brain2char: a deep architecture for decoding text from brain recordings.  Journal of Neural Engineering, 17(6):066015, 2020.
  * (277) David A Moses, Nima Mesgarani, Matthew K Leonard, and Edward F Chang.  Neural speech recognition: continuous phoneme decoding using spatiotemporal representations of human cortical activity.  Journal of neural engineering, 13(5):056004, 2016.
  * (278) David A Moses, Sean L Metzger, Jessie R Liu, Gopala K Anumanchipalli, Joseph G Makin, Pengfei F Sun, Josh Chartier, Maximilian E Dougherty, Patricia M Liu, Gary M Abrams, et al.  Neuroprosthesis for decoding speech in a paralyzed person with anarthria.  New England Journal of Medicine, 385(3):217–227, 2021.
  * (279) Thomas J Oxley, Nicholas L Opie, Sam E John, Gil S Rind, Stephen M Ronayne, Tracey L Wheeler, Jack W Judy, Alan J McDonald, Anthony Dornom, Timothy JH Lovell, et al.  Minimally invasive endovascular stent-electrode array for high-fidelity, chronic recordings of cortical neural activity.  Nature biotechnology, 34(3):320–327, 2016.
  * (280) Kim D Anderson.  Targeting recovery: priorities of the spinal cord-injured population.  Journal of neurotrauma, 21(10):1371–1383, 2004.
  * (281) Mijail D Serruya, Nicholas G Hatsopoulos, Liam Paninski, Matthew R Fellows, and John P Donoghue.  Instant neural control of a movement signal.  Nature, 416(6877):141–142, 2002.
  * (282) Dawn M Taylor, Stephen I Helms Tillery, and Andrew B Schwartz.  Direct cortical control of 3d neuroprosthetic devices.  Science, 296(5574):1829–1832, 2002.
  * (283) Jose M Carmena, Mikhail A Lebedev, Roy E Crist, Joseph E O'Doherty, David M Santucci, Dragan F Dimitrov, Parag G Patil, Craig S Henriquez, and Miguel A. L Nicolelis.  Learning to control a brain–machine interface for reaching and grasping by primates.  PLoS Biology, 1(2):e42, October 2003.
  * (284) Liam Paninski, Matthew R Fellows, Nicholas G Hatsopoulos, and John P Donoghue.  Spatiotemporal tuning of motor cortical neurons for hand position and velocity.  Journal of neurophysiology, 91(1):515–532, 2004.
  * (285) Meel Velliste, Sagi Perel, M Chance Spalding, Andrew S Whitford, and Andrew B Schwartz.  Cortical control of a prosthetic arm for self-feeding.  Nature, 453(7198):1098–1101, 2008.
  * (286) Chet T Moritz, Steve I Perlmutter, and Eberhard E Fetz.  Direct control of paralysed muscles by cortical neurons.  Nature, 456(7222):639–642, 2008.
  * (287) Leigh R Hochberg, Mijail D Serruya, Gerhard M Friehs, Jon A Mukand, Maryam Saleh, Abraham H Caplan, Almut Branner, David Chen, Richard D Penn, and John P Donoghue.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia.  Nature, 442(7099):164–171, 2006.
  * (288) JD Simeral, Sung-Phil Kim, MJ Black, JP Donoghue, and LR Hochberg.  Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array.  Journal of neural engineering, 8(2):025027, 2011.
  * (289) Vikash Gilja, Chethan Pandarinath, Christine H Blabe, Paul Nuyujukian, John D Simeral, Anish A Sarma, Brittany L Sorice, János A Perge, Beata Jarosiewicz, Leigh R Hochberg, et al.  Clinical translation of a high-performance neural prosthesis.  Nature medicine, 21(10):1142–1145, 2015.
  * (290) Leigh R Hochberg, Daniel Bacher, Beata Jarosiewicz, Nicolas Y Masse, John D Simeral, Joern Vogel, Sami Haddadin, Jie Liu, Sydney S Cash, Patrick Van Der Smagt, et al.  Reach and grasp by people with tetraplegia using a neurally controlled robotic arm.  Nature, 485(7398):372–375, 2012.
  * (291) Jennifer L Collinger, Brian Wodlinger, John E Downey, Wei Wang, Elizabeth C Tyler-Kabara, Douglas J Weber, Angus JC McMorland, Meel Velliste, Michael L Boninger, and Andrew B Schwartz.  High-performance neuroprosthetic control by an individual with tetraplegia.  The Lancet, 381(9866):557–564, 2013.
  * (292) Michael Kryger, Brock Wester, Eric A Pohlmeyer, Matthew Rich, Brendan John, James Beaty, Michael McLoughlin, Michael Boninger, and Elizabeth C Tyler-Kabara.  Flight simulation using a brain-computer interface: A pilot, pilot study.  Experimental neurology, 287:473–478, 2017.
  * (293) Collin Dunlap, Luke Bird, Ian Burkhart, Kaitlyn Eipel, Samuel Colachis, Nicholas Annetta, Patrick Ganzer, Gaurav Sharma, David Friedenberg, Robert Franklin, et al.  Towards a modular brain-machine interface for intelligent vehicle systems control–a carla demonstration.  In 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC), pages 277–284. IEEE, 2019.
  * (294) John E Downey, Jeffrey M Weiss, Sharlene N Flesher, Zachary C Thumser, Paul D Marasco, Michael L Boninger, Robert A Gaunt, and Jennifer L Collinger.  Implicit grasp force representation in human motor cortical recordings.  Frontiers in neuroscience, page 801, 2018.
  * (295) Chad E Bouton, Ammar Shaikhouni, Nicholas V Annetta, Marcia A Bockbrader, David A Friedenberg, Dylan M Nielson, Gaurav Sharma, Per B Sederberg, Bradley C Glenn, W Jerry Mysiw, et al.  Restoring cortical control of functional movement in a human with quadriplegia.  Nature, 533(7602):247–250, 2016.
  * (296) Sharlene N Flesher, Jennifer L Collinger, Stephen T Foldes, Jeffrey M Weiss, John E Downey, Elizabeth C Tyler-Kabara, Sliman J Bensmaia, Andrew B Schwartz, Michael L Boninger, and Robert A Gaunt.  Intracortical microstimulation of human somatosensory cortex.  Science translational medicine, 8(361):361ra141–361ra141, 2016\.
  * (297) Patrick D Ganzer, Samuel C Colachis 4th, Michael A Schwemmer, David A Friedenberg, Collin F Dunlap, Carly E Swiftney, Adam F Jacobowitz, Doug J Weber, Marcia A Bockbrader, and Gaurav Sharma.  Restoring the sense of touch using a sensorimotor demultiplexing neural interface.  Cell, 181(4):763–773, 2020.
  * (298) Sharlene N Flesher, John E Downey, Jeffrey M Weiss, Christopher L Hughes, Angelica J Herrera, Elizabeth C Tyler-Kabara, Michael L Boninger, Jennifer L Collinger, and Robert A Gaunt.  A brain-computer interface that evokes tactile sensations improves robotic arm control.  Science, 372(6544):831–836, 2021.
  * (299) Christian Ethier and Lee E Miller.  Brain-controlled muscle stimulation for the restoration of motor function.  Neurobiology of disease, 83:180–190, 2015.
  * (300) A Bolu Ajiboye, Francis R Willett, Daniel R Young, William D Memberg, Brian A Murphy, Jonathan P Miller, Benjamin L Walter, Jennifer A Sweet, Harry A Hoyen, Michael W Keith, et al.  Restoration of reaching and grasping movements through brain-controlled muscle stimulation in a person with tetraplegia: a proof-of-concept demonstration.  The Lancet, 389(10081):1821–1830, 2017.
  * (301) Michael A Schwemmer, Nicholas D Skomrock, Per B Sederberg, Jordyn E Ting, Gaurav Sharma, Marcia A Bockbrader, and David A Friedenberg.  Meeting brain–computer interface user performance expectations using a deep neural network decoding framework.  Nature medicine, 24(11):1669–1676, 2018.
  * (302) Marcia Bockbrader.  Upper limb sensorimotor restoration through brain–computer interface technology in tetraparesis.  Current Opinion in Biomedical Engineering, 11:85–101, 2019.
  * (303) Samuel C Colachis, Collin F Dunlap, Nicholas V Annetta, Sanjay M Tamrakar, Marcia A Bockbrader, and David A Friedenberg.  Long-term intracortical microelectrode array performance in a human: A 5 year retrospective analysis.  Journal of Neural Engineering, 18(4):0460d7, 2021.
  * (304) Daniel B Silversmith, Reza Abiri, Nicholas F Hardy, Nikhilesh Natraj, Adelyn Tu-Chan, Edward F Chang, and Karunesh Ganguly.  Plug-and-play control of a brain–computer interface through neural map stabilization.  Nature Biotechnology, 39(3):326–335, 2021.
  * (305) Chethan Pandarinath, Paul Nuyujukian, Christine H Blabe, Brittany L Sorice, Jad Saab, Francis R Willett, Leigh R Hochberg, Krishna V Shenoy, and Jaimie M Henderson.  High performance communication by people with paralysis using an intracortical brain-computer interface.  Elife, 6:e18554, 2017.
  * (306) John D Simeral, Thomas Hosman, Jad Saab, Sharlene N Flesher, Marco Vilela, Brian Franco, Jessica N Kelemen, David M Brandman, John G Ciancibello, Paymon G Rezaii, et al.  Home use of a percutaneous wireless intracortical brain-computer interface by individuals with tetraplegia.  IEEE Transactions on Biomedical Engineering, 68(7):2313–2325, 2021\.
  * (307) Sidrat Tasawoor Kanth and Supratim Ray.  Electrocorticogram (ecog) is highly informative in primate visual cortex.  Journal of Neuroscience, 40(12):2430–2444, 2020.
  * (308) Zenas C Chao, Yasuo Nagasaka, and Naotaka Fujii.  Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkey.  Frontiers in neuroengineering, 3:3, 2010.
  * (309) Alan D Degenhart, James Eles, Richard Dum, Jessica L Mischel, Ivan Smalianchuk, Bridget Endler, Robin C Ashmore, Elizabeth C Tyler-Kabara, Nicholas G Hatsopoulos, Wei Wang, et al.  Histological evaluation of a chronically-implanted electrocorticographic electrode grid in a non-human primate.  Journal of neural engineering, 13(4):046019, 2016.
  * (310) Christelle Larzabal, Stéphane Bonnet, Thomas Costecalde, Vincent Auboiroux, Guillaume Charvet, Stéphan Chabardes, Tetiana Aksenova, and Fabien Sauter-Starace.  Long-term stability of the chronic epidural wireless recorder wimagine in tetraplegic patients.  Journal of Neural Engineering, 18(5):056026, 2021.
  * (311) Corinne S Mestais, Guillaume Charvet, Fabien Sauter-Starace, Michael Foerster, David Ratel, and Alim Louis Benabid.  Wimagine: wireless 64-channel ecog recording implant for long term clinical applications.  IEEE transactions on neural systems and rehabilitation engineering, 23(1):10–21, 2014.
  * (312) Md Eshrat E Alahi, Yonghong Liu, Zhen Xu, Hao Wang, Tianzhun Wu, and Subhas Chandra Mukhopadhyay.  Recent advancement of electrocorticography (ecog) electrodes for chronic neural recording/stimulation.  Materials Today Communications, 29:102853, 2021.
  * (313) Hidenori Watanabe, Masa-aki Sato, Takafumi Suzuki, Atsushi Nambu, Yukio Nishimura, Mitsuo Kawato, and Tadashi Isa.  Reconstruction of movement-related intracortical activity from micro-electrocorticogram array signals in monkey primary motor cortex.  Journal of neural engineering, 9(3):036006, 2012.
  * (314) Kentaro Shimoda, Yasuo Nagasaka, Zenas C Chao, and Naotaka Fujii.  Decoding continuous three-dimensional hand trajectories from epidural electrocorticographic signals in japanese macaques.  Journal of neural engineering, 9(3):036015, 2012.
  * (315) Kejia Hu, Mohsen Jamali, Ziev B Moses, Carlos A Ortega, Gabriel N Friedman, Wendong Xu, and Ziv M Williams.  Decoding unconstrained arm movements in primates using high-density electrocorticography signals for brain-machine interface use.  Scientific reports, 8(1):1–13, 2018.
  * (316) Camilo Toro, Günther Deuschl, Robert Thatcher, Susumu Sato, Conrad Kufta, and Mark Hallett.  Event-related desynchronization and movement-related cortical potentials on the ecog and eeg.  Electroencephalography and Clinical Neurophysiology/Evoked Potentials Section, 93(5):380–389, 1994.
  * (317) Simon P Levine, Jane E Huggins, Spencer L BeMent, Ramesh K Kushwaha, Lori A Schuh, Mitchell M Rohde, Erasmo A Passaro, Donald A Ross, Kost V Elisevich, and Brien J Smith.  A direct brain interface based on event-related potentials.  IEEE Transactions on Rehabilitation Engineering, 8(2):180–185, 2000\.
  * (318) Carsten Mehring, Martin Paul Nawrot, Simone Cardoso de Oliveira, Eilon Vaadia, Andreas Schulze-Bonhage, Ad Aertsen, and Tonio Ball.  Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex.  Journal of Physiology-Paris, 98(4):498–506, 2004.  Decoding and interfacing the brain: from neuronal assemblies to cyborgs.
  * (319) Eric C Leuthardt, Gerwin Schalk, Jonathan R Wolpaw, Jeffrey G Ojemann, and Daniel W Moran.  A brain–computer interface using electrocorticographic signals in humans.  Journal of neural engineering, 1(2):63, 2004.
  * (320) Tobias Pistohl, Andreas Schulze-Bonhage, Ad Aertsen, Carsten Mehring, and Tonio Ball.  Decoding natural grasp types from human ecog.  Neuroimage, 59(1):248–260, 2012.
  * (321) JOJWGSJ Kubanek, Kai J Miller, Jeffrey G Ojemann, Jonathan R Wolpaw, and Gerwin Schalk.  Decoding flexion of individual fingers using electrocorticographic signals in humans.  Journal of neural engineering, 6(6):066001, 2009.
  * (322) Kai J Miller, S Zanos, EE Fetz, M Den Nijs, and JG Ojemann.  Decoupling the cortical power spectrum reveals real-time representation of individual finger movements in humans.  Journal of Neuroscience, 29(10):3132–3137, 2009.
  * (323) Guy Hotson, David P McMullen, Matthew S Fifer, Matthew S Johannes, Kapil D Katyal, Matthew P Para, Robert Armiger, William S Anderson, Nitish V Thakor, Brock A Wester, et al.  Individual finger control of a modular prosthetic limb using high-density electrocorticography in a human subject.  Journal of neural engineering, 13(2):026017, 2016.
  * (324) Takeshi Satow, Masao Matsuhashi, Akio Ikeda, Junichi Yamamoto, Motohiro Takayama, Tahamina Begum, Tatsuya Mima, Takashi Nagamine, Nobuhiro Mikuni, Susumu Miyamoto, et al.  Distinct cortical areas for motor preparation and execution in human identified by bereitschaftspotential recording and ecog-emg coherence analysis.  Clinical neurophysiology, 114(7):1259–1264, 2003.
  * (325) Gerwin Schalk, Jan Kubanek, Kai J Miller, NR Anderson, Eric C Leuthardt, Jeffrey G Ojemann, Dave Limbrick, Daniel Moran, Lester A Gerhardt, and Jonathan R Wolpaw.  Decoding two-dimensional movement trajectories using electrocorticographic signals in humans.  Journal of neural engineering, 4(3):264, 2007.
  * (326) Tobias Pistohl, Tonio Ball, Andreas Schulze-Bonhage, Ad Aertsen, and Carsten Mehring.  Prediction of arm movement trajectories from ecog-recordings in humans.  Journal of neuroscience methods, 167(1):105–114, 2008.
  * (327) Aysegul Gunduz, Justin C Sanchez, Paul R Carney, and Jose C Principe.  Mapping broadband electrocorticographic recordings to two-dimensional hand trajectories in humans: motor control features.  Neural Networks, 22(9):1257–1270, 2009.
  * (328) Spencer Kellis, Sara Hanrahan, Tyler Davis, Paul A House, Richard Brown, and Bradley Greger.  Decoding hand trajectories from micro-electrocorticography in human patients.  In 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pages 4091–4094. IEEE, 2012.
  * (329) Yasuhiko Nakanishi, Takufumi Yanagisawa, Duk Shin, Ryohei Fukuma, Chao Chen, Hiroyuki Kambara, Natsue Yoshimura, Masayuki Hirata, Toshiki Yoshimine, and Yasuharu Koike.  Prediction of three-dimensional arm trajectories based on ecog signals recorded from human sensorimotor cortex.  PloS one, 8(8):e72085, 2013.
  * (330) Ksenia Volkova, Mikhail A Lebedev, Alexander Kaplan, and Alexei Ossadtchi.  Decoding movement from electrocorticographic activity: a review.  Frontiers in neuroinformatics, 13:74, 2019.
  * (331) Mariana P Branco, Lisanne M de Boer, Nick F Ramsey, and Mariska J Vansteensel.  Encoding of kinetic and kinematic movement parameters in the sensorimotor cortex: A brain-computer interface perspective.  European Journal of Neuroscience, 50(5):2755–2772, 2019.
  * (332) Santosh Chandrasekaran, Matthew Fifer, Stephan Bickel, Luke Osborn, Jose Herrero, Breanne Christie, Junqian Xu, Rory KJ Murphy, Sandeep Singh, Matthew F Glasser, et al.  Historical perspectives, challenges, and future directions of implantable brain-computer interfaces for sensorimotor applications.  Bioelectronic medicine, 7(1):1–11, 2021.
  * (333) Sumeet Vadera, Amar R Marathe, Jorge Gonzalez-Martinez, and Dawn M Taylor.  Stereoelectroencephalography for continuous two-dimensional cursor control in a brain-machine interface.  Neurosurgical focus, 34(6):E3, 2013.
  * (334) Brian A Murphy, Jonathan P Miller, Kabilar Gunalan, and A Bolu Ajiboye.  Contributions of subsurface cortical modulations to discrimination of executed and imagined grasp forces through stereoelectroencephalography.  PLoS One, 11(3):e0150359, 2016.
  * (335) Guangye Li, Shize Jiang, Yang Xu, Zehan Wu, Liang Chen, and Dingguo Zhang.  A preliminary study towards prosthetic hand control using human stereo-electroencephalography (seeg) signals.  In 2017 8th International IEEE/EMBS Conference on Neural Engineering (NER), pages 375–378. IEEE, 2017.
  * (336) Wei Wang, Jennifer L Collinger, Alan D Degenhart, Elizabeth C Tyler-Kabara, Andrew B Schwartz, Daniel W Moran, Douglas J Weber, Brian Wodlinger, Ramana K Vinjamuri, Robin C Ashmore, et al.  An electrocorticographic brain interface in an individual with tetraplegia.  PloS one, 8(2):e55344, 2013.
  * (337) C Márquez-Chin, MR Popovic, T Cameron, AM Lozano, and R Chen.  Control of a neuroprosthesis for grasping using off-line classification of electrocorticographic signals: case study.  Spinal Cord, 47(11):802–808, 2009.
  * (338) Takufumi Yanagisawa, Masayuki Hirata, Youichi Saitoh, Tetsu Goto, Haruhiko Kishima, Ryohei Fukuma, Hiroshi Yokoi, Yukiyasu Kamitani, and Toshiki Yoshimine.  Real-time control of a prosthetic hand using human electrocorticography signals.  Journal of neurosurgery, 114(6):1715–1722, 2011.
  * (339) Alim Louis Benabid, Thomas Costecalde, Andrey Eliseyev, Guillaume Charvet, Alexandre Verney, Serpil Karakas, Michael Foerster, Aurélien Lambert, Boris Morinière, Neil Abroug, et al.  An exoskeleton controlled by an epidural wireless brain–machine interface in a tetraplegic patient: a proof-of-concept demonstration.  The Lancet Neurology, 18(12):1112–1122, 2019.
  * (340) Alexandre Moly, Thomas Costecalde, Félix Martel, Matthieu Martin, Christelle Larzabal, Serpil Karakas, Alexandre Verney, Guillaume Charvet, Stephan Chabardes, Alim Louis Benabid, et al.  An adaptive closed-loop ecog decoder for long-term and stable bimanual control of an exoskeleton by a tetraplegic.  Journal of Neural Engineering, 19(2):026021, 2022.
  * (341) Iahn Cajigas, Kevin Davis, Benyamin Meschede-Krasa, Noeline Prins, Sebastian Gallo, Jasim Naeem, Anne Palermo, Audrey Wilson, Santiago Guerra, Brandon Parks, et al.  Implantable brain-computer interface for volitional hand grasp in spinal cord injury.  2021\.
  * (342) Wing-kin Tam, Tong Wu, Qi Zhao, Edward Keefer, and Zhi Yang.  Human motor decoding from neural signals: a review.  BMC Biomedical Engineering, 1(1):1–22, 2019.
  * (343) Ziqian Xie, Odelia Schwartz, and Abhishek Prasad.  Decoding of finger trajectory from ecog using deep learning.  Journal of neural engineering, 15(3):036009, 2018.
  * (344) Nancy Wang, Ali Farhadi, Rajesh Rao, and Bingni Brunton.  Ajile movement prediction: Multimodal deep learning for natural human neural recordings and video.  In Proceedings of the AAAI Conference on Artificial Intelligence, volume 32, 2018.
  * (345) Nicholas D Skomrock, Michael A Schwemmer, Jordyn E Ting, Hemang R Trivedi, Gaurav Sharma, Marcia A Bockbrader, and David A Friedenberg.  A characterization of brain-computer interface performance trade-offs using support vector machines and deep neural networks to decode movement intent.  Frontiers in neuroscience, page 763, 2018.
  * (346) Hoseok Choi, Seokbeen Lim, Kyeongran Min, Kyoung-ha Ahn, Kyoung-Min Lee, and Dong Pyo Jang.  Non–human primate epidural ecog analysis using explainable deep learning technology.  Journal of Neural Engineering, 18(6):066022, 2021.
  * (347) Zhengwu Liu, Jianshi Tang, Bin Gao, Peng Yao, Xinyi Li, Dingkun Liu, Ying Zhou, He Qian, Bo Hong, and Huaqiang Wu.  Neural signal analysis with memristor arrays towards high-efficiency brain–machine interfaces.  Nature communications, 11(1):1–9, 2020.
  * (348) Spencer L James, Degu Abate, Kalkidan Hassen Abate, Solomon M Abay, Cristiana Abbafati, Nooshin Abbasi, Hedayat Abbastabar, Foad Abd-Allah, Jemal Abdela, Ahmed Abdelalim, et al.  Global, regional, and national incidence, prevalence, and years lived with disability for 354 diseases and injuries for 195 countries and territories, 1990–2017: a systematic analysis for the global burden of disease study 2017.  The Lancet, 392(10159):1789–1858, 2018.
  * (349) MJ Brodie, SD Shorvon, R Canger, P Halasz, S Johannessen, P Thompson, HG Wieser, and P Wolf.  Commission on european affairs: appropriate standards of epilepsy care across europe.  Epilepsia, 38(11):1245–1250, 1997.
  * (350) Patrick Kwan and Martin J Brodie.  Early identification of refractory epilepsy.  New England Journal of Medicine, 342(5):314–319, 2000.
  * (351) Rosemarie Kobau, Hatic Zahran, David J Thurman, Matthew M Zack, Thomas R Henry, Steven C Schachter, and Patricia H Price.  Epilepsy surveillance among adults–19 states, behavioral risk factor surveillance system, 2005.  2008\.
  * (352) Theo Vos, Christine Allen, Megha Arora, Ryan M Barber, Zulfiqar A Bhutta, Alexandria Brown, Austin Carter, Daniel C Casey, Fiona J Charlson, Alan Z Chen, et al.  Global, regional, and national incidence, prevalence, and years lived with disability for 310 diseases and injuries, 1990–2015: a systematic analysis for the global burden of disease study 2015.  The lancet, 388(10053):1545–1602, 2016.
  * (353) Ann M Graybiel.  The basal ganglia.  Current biology, 10(14):R509–R511, 2000.
  * (354) Jose A Obeso, Maria Cruz Rodríguez-Oroz, Beatriz Benitez-Temino, Franscisco J Blesa, Jorge Guridi, Concepció Marin, and Manuel Rodriguez.  Functional organization of the basal ganglia: therapeutic implications for parkinson’s disease.  Movement disorders: official journal of the Movement Disorder Society, 23(S3):S548–S559, 2008.
  * (355) Thomas E Schlaepfer, Bettina H Bewernick, Sarah Kayser, Rene Hurlemann, and Volker A Coenen.  Deep brain stimulation of the human reward system for major depression—rationale, outcomes and outlook.  Neuropsychopharmacology, 39(6):1303–1314, 2014.
  * (356) Nealen G Laxpati, Willard S Kasoff, and Robert E Gross.  Deep brain stimulation for the treatment of epilepsy: circuits, targets, and trials.  Neurotherapeutics, 11(3):508–526, 2014.
  * (357) Robert J Coffey.  Deep brain stimulation devices: a brief technical history and review.  Artificial organs, 33(3):208–220, 2009.
  * (358) Alim-Louis Benabid, Pierre Pollak, Alain Louveau, S Henry, and J De Rougemont.  Combined (thalamotomy and stimulation) stereotactic surgery of the vim thalamic nucleus for bilateral parkinson disease.  Stereotactic and functional neurosurgery, 50(1-6):344–346, 1987\.
  * (359) P Pollak, AL Benabid, C Gross, DM Gao, A Laurent, A Benazzouz, D Hoffmann, M Gentil, and J Perret.  Effects of the stimulation of the subthalamic nucleus in parkinson disease.  Revue neurologique, 149(3):175–176, 1993.
  * (360) Patricia Limousin, Pierre Pollak, Abdelhamid Benazzouz, Dominique Hoffmann, Jean-François Le Bas, JE Perret, AL Benabid, and El Broussolle.  Effect on parkinsonian signs and symptoms of bilateral subthalamic nucleus stimulation.  The Lancet, 345(8942):91–95, 1995.
  * (361) Günther Deuschl, Carmen Schade-Brittinger, Paul Krack, Jens Volkmann, Helmut Schäfer, Kai Bötzel, Christine Daniels, Angela Deutschländer, Ulrich Dillmann, Wilhelm Eisner, et al.  A randomized trial of deep-brain stimulation for parkinson’s disease.  New England Journal of Medicine, 355(9):896–908, 2006.
  * (362) Adrian Williams, Steven Gill, Thelekat Varma, Crispin Jenkinson, Niall Quinn, Rosalind Mitchell, Richard Scott, Natalie Ives, Caroline Rick, Jane Daniels, et al.  Deep brain stimulation plus best medical therapy versus best medical therapy alone for advanced parkinson’s disease (pd surg trial): a randomised, open-label trial.  The Lancet Neurology, 9(6):581–591, 2010.
  * (363) Vincent JJ Odekerken, Teus van Laar, Michiel J Staal, Arne Mosch, Carel FE Hoffmann, Peter CG Nijssen, Guus N Beute, Jeroen PP van Vugt, Mathieu WPM Lenders, M Fiorella Contarino, et al.  Subthalamic nucleus versus globus pallidus bilateral deep brain stimulation for advanced parkinson’s disease (nstaps study): a randomised controlled trial.  The Lancet Neurology, 12(1):37–44, 2013.
  * (364) IS Cooper, ARM Upton, and I Amin.  Reversibility of chronic neurologic deficits. some effects of electrical stimulation of the thalamus and internal capsule in man.  Stereotactic and Functional Neurosurgery, 43(3-5):244–258, 1980\.
  * (365) DM Andrade, D Zumsteg, C Hamani, MMDMF Hodaie, S Sarkissian, AM Lozano, and RA Wennberg.  Long-term follow-up of patients with thalamic deep brain stimulation for epilepsy.  Neurology, 66(10):1571–1573, 2006.
  * (366) Robert Fisher, Vicenta Salanova, Thomas Witt, Robert Worth, Thomas Henry, Robert Gross, Kalarickal Oommen, Ivan Osorio, Jules Nazzaro, Douglas Labar, et al.  Electrical stimulation of the anterior nucleus of thalamus for treatment of refractory epilepsy.  Epilepsia, 51(5):899–908, 2010.
  * (367) Colette Boëx, Margitta Seeck, Serge Vulliemoz, Andrea O Rossetti, Claudio Staedler, Laurent Spinelli, Alan J Pegna, Etienne Pralong, Jean-Guy Villemure, Giovanni Foletti, et al.  Chronic deep brain stimulation in mesial temporal lobe epilepsy.  Seizure, 20(6):485–490, 2011.
  * (368) Adrian Handforth, Antonio AF DeSalles, and Scott E Krahl.  Deep brain stimulation of the subthalamic nucleus as adjunct treatment for refractory epilepsy.  Epilepsia, 47(7):1239–1241, 2006.
  * (369) Antonio Valentín, Eduardo García Navarrete, Ramesh Chelvarajah, Cristina Torres, Marta Navas, Lelia Vico, Nerea Torres, Jesus Pastor, Richard Selway, Rafael G Sola, et al.  Deep brain stimulation of the centromedian thalamic nucleus for the treatment of generalized and frontal epilepsies.  Epilepsia, 54(10):1823–1833, 2013.
  * (370) Francisco Velasco, José D Carrillo-Ruiz, Francisco Brito, Marcos Velasco, Ana Luisa Velasco, Irma Marquez, and Ross Davis.  Double-blind, randomized controlled pilot study of bilateral cerebellar stimulation for treatment of intractable motor seizures.  Epilepsia, 46(7):1071–1081, 2005.
  * (371) Tobias Loddenkemper, Andrew Pan, Silvia Neme, Kenneth B Baker, Ali R Rezai, Dudley S Dinner, Erwin B Montgomery Jr, and Hans O Lüders.  Deep brain stimulation in epilepsy.  Journal of Clinical Neurophysiology, 18(6):514–532, 2001.
  * (372) William H Theodore and Robert S Fisher.  Brain stimulation for epilepsy.  The Lancet Neurology, 3(2):111–118, 2004.
  * (373) Helen S Mayberg, Andres M Lozano, Valerie Voon, Heather E McNeely, David Seminowicz, Clement Hamani, Jason M Schwalb, and Sidney H Kennedy.  Deep brain stimulation for treatment-resistant depression.  Neuron, 45(5):651–660, 2005.
  * (374) Patric Blomstedt, Rickard L Sjöberg, Maja Hansson, Owe Bodlund, and Marwan I Hariz.  Deep brain stimulation in the treatment of obsessive-compulsive disorder.  World neurosurgery, 80(6):e245–e253, 2013.
  * (375) Joel S Perlmutter and Jonathan W Mink.  Deep brain stimulation.  Annu. Rev. Neurosci., 29:229–257, 2006.
  * (376) Andres M Lozano, Nir Lipsman, Hagai Bergman, Peter Brown, Stephan Chabardes, Jin Woo Chang, Keith Matthews, Cameron C McIntyre, Thomas E Schlaepfer, Michael Schulder, et al.  Deep brain stimulation: current challenges and future directions.  Nature Reviews Neurology, 15(3):148–160, 2019.
  * (377) Mark P Richardson.  Large scale brain models of epilepsy: dynamics meets connectomics.  Journal of Neurology, Neurosurgery & Psychiatry, 83(12):1238–1248, 2012.
  * (378) Michael Breakspear.  Dynamic models of large-scale brain activity.  Nature neuroscience, 20(3):340–352, 2017.
  * (379) Abhinav Goyal, Steve Goetz, Scott Stanslaski, Yoonbae Oh, Aaron E Rusheen, Bryan Klassen, Kai Miller, Charles D Blaha, Kevin E Bennet, and Kendall Lee.  The development of an implantable deep brain stimulation device with simultaneous chronic electrophysiological recording and stimulation in humans.  Biosensors and Bioelectronics, 176:112888, 2021.
  * (380) Morten L Kringelbach, Ned Jenkinson, Sarah LF Owen, and Tipu Z Aziz.  Translational principles of deep brain stimulation.  Nature Reviews Neuroscience, 8(8):623–635, 2007.
  * (381) Felice T Sun and Martha J Morrell.  Closed-loop neurostimulation: the clinical experience.  Neurotherapeutics, 11(3):553–563, 2014.
  * (382) Andreas Kupsch, Reiner Benecke, Jörg Müller, Thomas Trottenberg, Gerd-Helge Schneider, Werner Poewe, Wilhelm Eisner, Alexander Wolters, Jan-Uwe Müller, Günther Deuschl, et al.  Pallidal deep-brain stimulation in primary generalized or segmental dystonia.  New England Journal of Medicine, 355(19):1978–1990, 2006.
  * (383) S Elizabeth Zauber, Nidhi Watson, Cynthia L Comella, Roy AE Bakay, and Leo Verhagen Metman.  Stimulation-induced parkinsonism after posteroventral deep brain stimulation of the globus pallidus internus for craniocervical dystonia: Case report.  Journal of neurosurgery, 110(2):229–233, 2009.
  * (384) Kenneth A Follett, Frances M Weaver, Matthew Stern, Kwan Hur, Crystal L Harris, Ping Luo, William J Marks Jr, Johannes Rothlind, Oren Sagher, Claudia Moy, et al.  Pallidal versus subthalamic deep-brain stimulation for parkinson’s disease.  New England Journal of Medicine, 362(22):2077–2091, 2010.
  * (385) C Schrader, H-H Capelle, TM Kinfe, C Blahak, H Bäzner, G Lütjens, D Dressler, and JK Krauss.  Gpi-dbs may induce a hypokinetic gait disorder with freezing of gait in patients with dystonia.  Neurology, 77(5):483–488, 2011.
  * (386) Takamitsu Yamamoto, Yoichi Katayama, Junichi Ushiba, Hiroko Yoshino, Toshiki Obuchi, Kazutaka Kobayashi, Hideki Oshima, and Chikashi Fukaya.  On-demand control system for deep brain stimulation for treatment of intention tremor.  Neuromodulation: Technology at the Neural Interface, 16(3):230–235, 2013.
  * (387) Mahsa Malekmohammadi, Jeffrey Herron, Anca Velisar, Zack Blumenfeld, Megan H Trager, Howard Jay Chizeck, and Helen Brontë-Stewart.  Kinematic a daptive d eep b rain s timulation for r esting t remor in p arkinson’s d isease.  Movement disorders, 31(3):426–428, 2016.
  * (388) Jeffrey A Herron, Margaret C Thompson, Timothy Brown, Howard J Chizeck, Jeffrey G Ojemann, and Andrew L Ko.  Chronic electrocorticography for sensing movement intention and closed-loop deep brain stimulation with wearable sensors in an essential tremor patient.  Journal of neurosurgery, 127(3):580–587, 2016.
  * (389) Nicole C Swann, Coralie de Hemptinne, Margaret C Thompson, Svjetlana Miocinovic, Andrew M Miller, Jill L Ostrem, Howard J Chizeck, Philip A Starr, et al.  Adaptive deep brain stimulation for parkinson’s disease using motor cortex sensing.  Journal of neural engineering, 15(4):046006, 2018.
  * (390) Barbara C Jobst, Ritu Kapur, Gregory L Barkley, Carl W Bazil, Michel J Berg, Gregory K Bergey, Jane G Boggs, Sydney S Cash, Andrew J Cole, Michael S Duchowny, et al.  Brain-responsive neurostimulation in patients with medically intractable seizures arising from eloquent and other neocortical areas.  Epilepsia, 58(6):1005–1014, 2017.
  * (391) Katherine W Scangos, Ankit N Khambhati, Patrick M Daly, Ghassan S Makhoul, Leo P Sugrue, Hashem Zamanian, Tony X Liu, Vikram R Rao, Kristin K Sellers, Heather E Dawes, et al.  Closed-loop neuromodulation in an individual with treatment-resistant depression.  Nature medicine, 27(10):1696–1700, 2021.
  * (392) Sameer A Sheth, Kelly R Bijanki, Brian Metzger, Anusha Allawala, Victoria Pirtle, Josh A Adkinson, John Myers, Raissa K Mathura, Denise Oswalt, Evangelia Tsolaki, et al.  Deep brain stimulation for depression informed by intracranial recordings.  Biological Psychiatry, 2021.
  * (393) Ishita Basu, Ali Yousefi, Britni Crocker, Rina Zelmann, Angelique C Paulk, Noam Peled, Kristen K Ellard, Daniel S Weisholtz, G Rees Cosgrove, Thilo Deckersbach, et al.  Closed-loop enhancement and neural decoding of cognitive control in humans.  Nature Biomedical Engineering, pages 1–13, 2021.
  * (394) Pablo E Saucedo-Alvarado, Ana Luisa Velasco, Gustavo Aguado-Carrillo, Manola Cuellar-Herrera, David Trejo-Martínez, Rene Márquez-Franco, and Francisco Velasco-Campos.  Optimizing deep brain stimulation for the treatment of drug-resistant temporal lobe epilepsy: a pilot study.  Journal of Neurosurgery, 1(aop):1–8, 2022.
  * (395) Wolf-Julian Neumann and Maria C Rodriguez-Oroz.  Machine learning will extend the clinical utility of adaptive deep brain stimulation, 2021.
  * (396) Timon Merk, Victoria Peterson, Witold J Lipski, Benjamin Blankertz, Robert S Turner, Ningfei Li, Andreas Horn, Robert Mark Richardson, and Wolf-Julian Neumann.  Electrocorticography is superior to subthalamic local field potentials for movement decoding in parkinson’s disease.  eLife, 11:e75126, 2022.
  * (397) Levin Kuhlmann, Klaus Lehnertz, Mark P Richardson, Björn Schelter, and Hitten P Zaveri.  Seizure prediction—ready for a new era.  Nature Reviews Neurology, 14(10):618–630, 2018.
  * (398) David Sussillo, Rafal Jozefowicz, LF Abbott, and Chethan Pandarinath.  Lfads-latent factor analysis via dynamical systems.  arXiv preprint arXiv:1608.06315, 2016.
  * (399) Jil M Meier, Dionysios Perdikis, André Blickensdörfer, Leon Stefanovski, Qin Liu, Oliver Maith, Helge Ü Dinkelbach, Javier Baladron, Fred H Hamker, and Petra Ritter.  Virtual deep brain stimulation: Multiscale co-simulation of a spiking basal ganglia model and a whole-brain mean-field model with the virtual brain.  Experimental Neurology, page 114111, 2022.