Sensors and Decoding for Intracortical Brain Computer Interfaces

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Reach and grasp by people with tetraplegia using a neurally controlled robotic arm

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Targeting Recovery: Priorities of the Spinal Cord-Injured Population

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High-performance neuroprosthetic control by an individual with tetraplegia

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Learning to control a brain–machine interface for reaching and grasping by primates

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Cortical control of a prosthetic arm for self-feeding

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Direct Cortical Control of 3D Neuroprosthetic Devices

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Instant neural control of a movement signal

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Real-time control of a robot arm using simultaneously recorded neurons in the motor cortex

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Brain–Computer InterfacesPrinciples and Practice

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A Point Process Framework for Relating Neural Spiking Activity to Spiking History, Neural Ensemble, and Extrinsic Covariate Effects

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Discrete Time Signal Processing

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A high-performance brain–computer interface

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Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity

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Cognitive Control Signals for Neural Prosthetics

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The Utah Intracortical Electrode Array: A recording structure for potential brain-computer interfaces

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Operant Conditioning of Cortical Unit Activity

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Direct control of paralysed muscles by cortical neurons

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A Statistical Paradigm for Neural Spike Train Decoding Applied to Position Prediction from Ensemble Firing Patterns of Rat Hippocampal Place Cells

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Oscillations in local field potentials of the primate motor cortex during voluntary movement.

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Oscillatory interactions between sensorimotor cortex and the periphery

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Clinical Applications of Brain-Computer Interfaces: Current State and Future Prospects

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Propagating waves mediate information transfer in the motor cortex

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Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array

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Restoration of grasp following paralysis through brain-controlled stimulation of muscles

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Restoration of neural output from a paralyzed patient by a direct brain connection

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Cerebral Cortical Mechanisms of Reaching Movements

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A demographic profile of new traumatic spinal cord injuries: Change and stability over 30 years

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The electrical properties of metal microelectrodes

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Brain-Computer Interfaces Using Electrocorticographic Signals

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Inference of hand movements from local field potentials in monkey motor cortex

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Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia

Kim, S.-P., Simeral, J. D., Hochberg, L. R., Donoghue, J. P., & Black, M. J. (2008) · Journal of Neural Engineering · doi:10.1088/1741-2560/5/4/010 · Cited by 407

Cortical Local Field Potential Encodes Movement Intentions in the Posterior Parietal Cortex

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Corticostriatal plasticity is necessary for learning intentional neuroprosthetic skills

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Predicting Measures of Motor Performance from Multiple Cortical Spike Trains

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Silicon-substrate intracortical microelectrode arrays for long-term recording of neuronal spike activity in cerebral cortex

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A glass/silicon composite intracortical electrode array

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Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex

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Long-term asynchronous decoding of arm motion using electrocorticographic signals in monkey

Chao (2010) · Frontiers in Neuroengineering · doi:10.3389/fneng.2010.00003 · Cited by 337

An implantable wireless neural interface for recording cortical circuit dynamics in moving primates

Borton, D. A., Yin, M., Aceros, J. C., & Nurmikko, A. V. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/2/026010 · Cited by 326

Encoding of Movement Direction in Different Frequency Ranges of Motor Cortical Local Field Potentials

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Predicting Movement from Multiunit Activity

Stark, E., & Abeles, M. (2007) · Journal of Neuroscience · doi:10.1523/jneurosci.1321-07.2007 · Cited by 306

Functional network reorganization during learning in a brain-computer interface paradigm

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Poly(3,4-ethylenedioxythiophene) (PEDOT) polymer coatings facilitate smaller neural recording electrodes

Ludwig, K. A., Langhals, N. B., Joseph, M. D., Richardson-Burns, S. M., Hendricks, J. L., & Kipke, D. R. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/1/014001 · Cited by 283

Decoding Complete Reach and Grasp Actions from Local Primary Motor Cortex Populations

Vargas-Irwin, C. E., Shakhnarovich, G., Yadollahpour, P., Mislow, J. M. K., Black, M. J., & Donoghue, J. P. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.5443-09.2010 · Cited by 276

Primary Motor Cortex Tuning to Intended Movement Kinematics in Humans with Tetraplegia

Truccolo, W., Friehs, G. M., Donoghue, J. P., & Hochberg, L. R. (2008) · Journal of Neuroscience · doi:10.1523/jneurosci.4415-07.2008 · Cited by 268

Interfacing Conducting Polymer Nanotubes with the Central Nervous System: Chronic Neural Recording using Poly(3,4‐ethylenedioxythiophene) Nanotubes

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Recursive Bayesian Decoding of Motor Cortical Signals by Particle Filtering

Brockwell, A., Rojas, A., & Kass, R. E. (2004) · Journal of Neurophysiology · doi:10.1152/jn.00438.2003 · Cited by 257

Fast fronto-parietal rhythms during combined focused attentive behaviour and immobility in cat: cortical and thalamic localizations

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Intra-day signal instabilities affect decoding performance in an intracortical neural interface system

Perge, J. A., Homer, M. L., Malik, W. Q., Cash, S., Eskandar, E., Friehs, G., Donoghue, J. P., & Hochberg, L. R. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/3/036004 · Cited by 243

Neurons in primary motor cortex engaged during action observation

Dushanova, J., & Donoghue, J. P. (2010) · European Journal of Neuroscience · doi:10.1111/j.1460-9568.2009.07067.x · Cited by 235

Single-unit neural recording with active microelectrode arrays

Bai, Q., & Wise, K. D. (2001) · IEEE Transactions on Biomedical Engineering · doi:10.1109/10.936367 · Cited by 214

Wireless Neural Recording With Single Low-Power Integrated Circuit

Harrison, R. R., Kier, R. J., Chestek, C. A., Gilja, V., Nuyujukian, P., Ryu, S. I., Greger, B. E., Solzbacher, F., & Shenoy, K. V. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2023298 · Cited by 208

Decoding 3D reach and grasp from hybrid signals in motor and premotor cortices: spikes, multiunit activity, and local field potentials

Bansal, A. K., Truccolo, W., Vargas-Irwin, C. E., & Donoghue, J. P. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00781.2011 · Cited by 206

Accurate decoding of reaching movements from field potentials in the absence of spikes

Flint, R. D., Lindberg, E. W., Jordan, L. R., Miller, L. E., & Slutzky, M. W. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/4/046006 · Cited by 199

A recurrent neural network for closed-loop intracortical brain–machine interface decoders

Sussillo, D., Nuyujukian, P., Fan, J. M., Kao, J. C., Stavisky, S. D., Ryu, S. I., & Shenoy, K. V. (2012) · Journal of Neural Engineering · doi:10.1088/1741-2560/9/2/026027 · Cited by 189

Extracting kinematic parameters for monkey bipedal walking from cortical neuronal ensemble activity

Fitzsimmons, N. A. (2009) · Frontiers in Integrative Neuroscience · doi:10.3389/neuro.07.003.2009 · Cited by 189

Unscented Kalman Filter for Brain-Machine Interfaces

Li, Z., O’Doherty, J. E., Hanson, T., Lebedev, M., Henriquez, C. S., & Nicolelis, M. A. L. (2009) · PLoS ONE · doi:10.1371/journal.pone.0006243 · Cited by 187

Decoding 3-D Reach and Grasp Kinematics From High-Frequency Local Field Potentials in Primate Primary Motor Cortex

Zhuang, J., Truccolo, W., Vargas-Irwin, C. E., & Donoghue, J. P. (2010) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2010.2047015 · Cited by 177

Control of a brain–computer interface without spike sorting

Fraser, G. W., Chase, S. M., Whitford, A. S., & Schwartz, A. B. (2009) · Journal of Neural Engineering · doi:10.1088/1741-2560/6/5/055004 · Cited by 176

Closed-Loop Decoder Adaptation on Intermediate Time-Scales Facilitates Rapid BMI Performance Improvements Independent of Decoder Initialization Conditions

Orsborn, A. L., Dangi, S., Moorman, H. G., & Carmena, J. M. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2012.2185066 · Cited by 174

Sensorimotor transformations in cortical motor areas

Kakei, S., Hoffman, D. S., & Strick, P. L. (2003) · Neuroscience Research · doi:10.1016/s0168-0102(03)00031-2 · Cited by 171

A 100-Channel Hermetically Sealed Implantable Device for Chronic Wireless Neurosensing Applications

Yin, M., Borton, D. A., Aceros, J. C., Patterson, W. R., & Nurmikko, A. V. (2013) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2013.2255874 · Cited by 161

HermesD: A High-Rate Long-Range Wireless Transmission System for Simultaneous Multichannel Neural Recording Applications

Miranda, H. C., Gilja, V., Chestek, C. A., Shenoy, K. V., & Meng, T. H. Y. (2010) · IEEE Transactions on Biomedical Circuits and Systems · doi:10.1109/tbcas.2010.2044573 · Cited by 161

Challenges and Opportunities for Next-Generation Intracortically Based Neural Prostheses

Gilja, V., Chestek, C. A., Diester, I., Henderson, J. M., Deisseroth, K. A., & Shenoy, K. V. (2011) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2011.2107553 · Cited by 160

Learning to move machines with the mind

Green, A. M., & Kalaska, J. F. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.11.003 · Cited by 157

Detecting Neural-State Transitions Using Hidden Markov Models for Motor Cortical Prostheses

Kemere, C., Santhanam, G., Yu, B. M., Afshar, A., Ryu, S. I., Meng, T. H., & Shenoy, K. V. (2008) · Journal of Neurophysiology · doi:10.1152/jn.00924.2007 · Cited by 157

Relationships among low-frequency local field potentials, spiking activity, and three-dimensional reach and grasp kinematics in primary motor and ventral premotor cortices

Bansal, A. K., Vargas-Irwin, C. E., Truccolo, W., & Donoghue, J. P. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00532.2010 · Cited by 155

Cortical Representation of Ipsilateral Arm Movements in Monkey and Man

Ganguly, K., Secundo, L., Ranade, G. V., Orsborn, A. L., Chang, E. F., Dimitrov, D. F., Wallis, J. D., Barbaro, N. M., Knight, R. T., & Carmena, J. M. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2471-09.2009 · Cited by 152

Solid-State Electrodes for Multichannel Multiplexed Intracortical Neuronal Recording

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Toward the Restoration of Hand Use to a Paralyzed Monkey: Brain-Controlled Functional Electrical Stimulation of Forearm Muscles

Pohlmeyer, E. A., Oby, E. R., Perreault, E. J., Solla, S. A., Kilgore, K. L., Kirsch, R. F., & Miller, L. E. (2009) · PLoS ONE · doi:10.1371/journal.pone.0005924 · Cited by 138

HermesB: A Continuous Neural Recording System for Freely Behaving Primates

Santhanam, G., Linderman, M. D., Gilja, V., Afshar, A., Ryu, S. I., Meng, T. H. Y., & Shenoy, K. V. (2007) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2007.895753 · Cited by 137

Bias, optimal linear estimation, and the differences between open-loop simulation and closed-loop performance of spiking-based brain–computer interface algorithms

Chase, S. M., Schwartz, A. B., & Kass, R. E. (2009) · Neural Networks · doi:10.1016/j.neunet.2009.05.005 · Cited by 136

HermesC: Low-Power Wireless Neural Recording System for Freely Moving Primates

Chestek, C. A., Gilja, V., Nuyujukian, P., Kier, R. J., Solzbacher, F., Ryu, S. I., Harrison, R. R., & Shenoy, K. V. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2023293 · Cited by 132

Adaptive Decoding for Brain-Machine Interfaces Through Bayesian Parameter Updates

Li, Z., O’Doherty, J. E., Lebedev, M., & Nicolelis, M. A. L. (2011) · Neural Computation · doi:10.1162/neco_a_00207 · Cited by 130

Superlinear Population Encoding of Dynamic Hand Trajectory in Primary Motor Cortex

Paninski, L., Shoham, S., Fellows, M. R., Hatsopoulos, N. G., & Donoghue, J. P. (2004) · Journal of Neuroscience · doi:10.1523/jneurosci.0919-04.2004 · Cited by 121

Factor-Analysis Methods for Higher-Performance Neural Prostheses

Santhanam, G., Yu, B. M., Gilja, V., Ryu, S. I., Afshar, A., Sahani, M., & Shenoy, K. V. (2009) · Journal of Neurophysiology · doi:10.1152/jn.00097.2009 · Cited by 114

Continuous neuronal ensemble control of simulated arm reaching by a human with tetraplegia

Chadwick, E. K., Blana, D., Simeral, J. D., Lambrecht, J. M., Kim, S. P., Cornwell, A. S., Taylor, D. M., Hochberg, L. R., Donoghue, J. P., & Kirsch, R. F. (2011) · Journal of Neural Engineering · doi:10.1088/1741-2560/8/3/034003 · Cited by 111

Efficient Decoding With Steady-State Kalman Filter in Neural Interface Systems

Malik, W. Q., Truccolo, W., Brown, E. N., & Hochberg, L. R. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2010.2092443 · Cited by 102

Novel multi-sided, microelectrode arrays for implantable neural applications

Seymour, J. P., Langhals, N. B., Anderson, D. J., & Kipke, D. R. (2011) · Biomedical Microdevices · doi:10.1007/s10544-011-9512-z · Cited by 95

Kinetic Trajectory Decoding Using Motor Cortical Ensembles

Fagg, A. H., Ojakangas, G. W., Miller, L. E., & Hatsopoulos, N. G. (2009) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2029313 · Cited by 93

Population decoding of motor cortical activity using a generalized linear model with hidden states

Lawhern, V. J., Wu, W. L., Hatsopoulos, N. G., & Paninski, L. (2010) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2010.03.024 · Cited by 93

Real-Time Decoding of Nonstationary Neural Activity in Motor Cortex

Wu, W. L., & Hatsopoulos, N. G. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2008.922679 · Cited by 92

Brain Control of Movement Execution Onset Using Local Field Potentials in Posterior Parietal Cortex

Hwang, E. J., & Andersen, R. A. (2009) · Journal of Neuroscience · doi:10.1523/jneurosci.2081-09.2009 · Cited by 90

General-Purpose Filter Design for Neural Prosthetic Devices

Srinivasan, L., Eden, U. T., Mitter, S. K., & Brown, E. N. (2007) · Journal of Neurophysiology · doi:10.1152/jn.01118.2006 · Cited by 77

High Accuracy Decoding of Movement Target Direction in Non-Human Primates Based on Common Spatial Patterns of Local Field Potentials

Ince, N. F., Gupta, R., Arıca, S., Tewfik, A. H., Ashe, J., & Pellizzer, G. (2010) · PLoS ONE · doi:10.1371/journal.pone.0014384 · Cited by 76

Signal Processing Challenges for Neural Prostheses

Linderman, M. D., Santhanam, G., Kemere, C. T., Gilja, V., O’Driscoll, S., Yu, B. M., Afshar, A., Ryu, S. I., Shenoy, K. V., & Meng, T. H. Y. (2008) · IEEE Signal Processing Magazine · doi:10.1109/msp.2008.4408439 · Cited by 75

Decoding Individuated Finger Movements Using Volume-Constrained Neuronal Ensembles in the M1 Hand Area

Acharya, S., Tenore, F. V., Aggarwal, V., Etienne‐Cummings, R., Schieber, M. H., & Thakor, N. V. (2008) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2007.916269 · Cited by 72

Probabilistic Inference of Hand Motion from Neural Activity in Motor Cortex

Gao, Y., Black, M. J., Bienenstock, E., Shoham, S., & Donoghue, J. P. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.003.0032 · Cited by 62

Kernel-ARMA for Hand Tracking and Brain-Machine interfacing During 3D Motor Control

Shpigelman, L., Lalazar, H., & Vaadia, E. (2008) · Cited by 58

Decoding covert spatial attention using electrocorticographic (ECoG) signals in humans

Gunduz, A., Brunner, P., Daitch, A. L., Leuthardt, E. C., Ritaccio, A. L., Pesaran, B., & Schalk, G. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.02.017 · Cited by 56

Observation-based learning for brain–machine interfaces

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Periodicity and Evoked Responses in Motor Cortex

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