systems in humans with tetraplegia Assistive technology and robotic control using MI ensemble-based neural interface Physiology in Press

[1]  R. Bellamkonda,et al.  Biomechanical analysis of silicon microelectrode-induced strain in the brain , 2005, Journal of neural engineering.

[2]  Justin C. Williams,et al.  Chronic neural recording using silicon-substrate microelectrode arrays implanted in cerebral cortex , 2004, IEEE Transactions on Biomedical Engineering.

[3]  J.P. Donoghue,et al.  Reliability of signals from a chronically implanted, silicon-based electrode array in non-human primate primary motor cortex , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[4]  W.R. Patterson,et al.  Development of a chipscale integrated microelectrode/microelectronic device for brain implantable neuroengineering applications , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[5]  J. Mcilwain Population coding: a historical sketch. , 2001, Progress in Brain Research.

[6]  G. Schalk,et al.  The emerging world of motor neuroprosthetics: a neurosurgical perspective. , 2006, Neurosurgery.

[7]  John P. Donoghue,et al.  Connecting cortex to machines: recent advances in brain interfaces , 2002, Nature Neuroscience.

[8]  C. Stevens,et al.  Neural Coding: The enigma of the brain , 1995, Current Biology.

[9]  R. Normann,et al.  Chronic recording capability of the Utah Intracortical Electrode Array in cat sensory cortex , 1998, Journal of Neuroscience Methods.

[10]  Nicholas G Hatsopoulos,et al.  Encoding in the motor cortex: was evarts right after all? Focus on "motor cortex neural correlates of output kinematics and kinetics during isometric-force and arm-reaching tasks". , 2005, Journal of neurophysiology.

[11]  J. Kalaska,et al.  Cerebral cortical mechanisms of reaching movements. , 1992, Science.

[12]  M. Nicolelis,et al.  Optimizing a Linear Algorithm for Real-Time Robotic Control using Chronic Cortical Ensemble Recordings in Monkeys , 2004, Journal of Cognitive Neuroscience.

[13]  Thilo Deckersbach,et al.  Functional Imaging of Mood and Anxiety Disorders , 2006, Journal of neuroimaging : official journal of the American Society of Neuroimaging.

[14]  H. Alkadhi,et al.  Localization of the motor hand area to a knob on the precentral gyrus. A new landmark. , 1997, Brain : a journal of neurology.

[15]  G. Pfurtscheller,et al.  Event-related dynamics of cortical rhythms: frequency-specific features and functional correlates. , 2001, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[16]  D. Kipke,et al.  Long-term neural recording characteristics of wire microelectrode arrays implanted in cerebral cortex. , 1999, Brain research. Brain research protocols.

[17]  M. Morrell Brain stimulation for epilepsy: can scheduled or responsive neurostimulation stop seizures? , 2006, Current opinion in neurology.

[18]  P. Peckham,et al.  Functional electrical stimulation for neuromuscular applications. , 2005, Annual review of biomedical engineering.

[19]  F. Lacquaniti,et al.  Parieto-frontal coding of reaching: an integrated framework , 1999, Experimental Brain Research.

[20]  J. Wolpaw,et al.  A P300 event-related potential brain–computer interface (BCI): The effects of matrix size and inter stimulus interval on performance , 2006, Biological Psychology.

[21]  J. Anthony Movshon,et al.  Comparison of Recordings from Microelectrode Arrays and Single Electrodes in the Visual Cortex , 2007, The Journal of Neuroscience.

[22]  R. Andersen,et al.  Selecting the signals for a brain–machine interface , 2004, Current Opinion in Neurobiology.

[23]  J. Donoghue,et al.  Neuronal Interactions Improve Cortical Population Coding of Movement Direction , 1999, The Journal of Neuroscience.

[24]  J. Donoghue,et al.  Neural discharge and local field potential oscillations in primate motor cortex during voluntary movements. , 1998, Journal of neurophysiology.

[25]  D. Kipke,et al.  Repeated voltage biasing improves unit recordings by reducing resistive tissue impedances , 2005, IEEE Transactions on Neural Systems and Rehabilitation Engineering.

[26]  Nicholas G. Hatsopoulos,et al.  Brain-machine interface: Instant neural control of a movement signal , 2002, Nature.

[27]  Jon A. Mukand,et al.  Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.

[28]  T. Bullock,et al.  Signals and signs in the nervous system: the dynamic anatomy of electrical activity is probably information-rich. , 1997, Proceedings of the National Academy of Sciences of the United States of America.

[29]  Byron M. Yu,et al.  A high-performance brain–computer interface , 2006, Nature.

[30]  Wei Wu,et al.  Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter , 2006, Neural Computation.

[31]  Dean J Krusienski,et al.  A comparison of classification techniques for the P300 Speller , 2006, Journal of neural engineering.

[32]  Jonathan R Wolpaw,et al.  Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans. , 2004, Proceedings of the National Academy of Sciences of the United States of America.

[33]  C. Mehring,et al.  Comparing information about arm movement direction in single channels of local and epicortical field potentials from monkey and human motor cortex , 2004, Journal of Physiology-Paris.

[34]  Kirk Jeffrey,et al.  Machines in Our Hearts: The Cardiac Pacemaker, the Implantable Defibrillator, and American Health Care , 2002 .

[35]  Dennis J. McFarland,et al.  Brain-computer interface (BCI) operation: signal and noise during early training sessions , 2005, Clinical Neurophysiology.

[36]  Matthew Fellows,et al.  Robustness of neuroprosthetic decoding algorithms , 2003, Biological Cybernetics.