Intra-day signal instabilities affect decoding performance in an intracortical neural interface system
暂无分享,去创建一个
Gerhard Friehs | Sydney Cash | John P Donoghue | Leigh R Hochberg | János A Perge | Mark L Homer | Wasim Q Malik | Emad Eskandar | J. Donoghue | S. Cash | L. Hochberg | G. Friehs | E. Eskandar | M. Homer | J. Perge | W. Q. Malik
[1] Miriam Zacksenhouse,et al. Cortical Ensemble Adaptation to Represent Velocity of an Artificial Actuator Controlled by a Brain-Machine Interface , 2005, The Journal of Neuroscience.
[2] B L McNaughton,et al. Circadian rhythm of synaptic excitability in rat and monkey central nervous system. , 1977, Science.
[3] Konrad P. Kording,et al. Sensory Adaptation and Short Term Plasticity as Bayesian Correction for a Changing Brain , 2010, PloS one.
[4] Richard B. Ivry,et al. Flexible Cognitive Strategies during Motor Learning , 2011, PLoS Comput. Biol..
[5] Michael J. Black,et al. Point-and-Click Cursor Control With an Intracortical Neural Interface System by Humans With Tetraplegia , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[6] Michael J. Black,et al. Neural control of computer cursor velocity by decoding motor cortical spiking activity in humans with tetraplegia , 2008, Journal of neural engineering.
[7] Yali Amit,et al. Single-unit stability using chronically implanted multielectrode arrays. , 2009, Journal of neurophysiology.
[8] E. Bizzi,et al. Motor Learning with Unstable Neural Representations , 2007, Neuron.
[9] G. Buzsáki,et al. Temporal Interaction between Single Spikes and Complex Spike Bursts in Hippocampal Pyramidal Cells , 2001, Neuron.
[10] Nicolas Y. Masse,et al. Reach and grasp by people with tetraplegia using a neurally controlled robotic arm , 2012, Nature.
[11] David M. Santucci,et al. Learning to Control a Brain–Machine Interface for Reaching and Grasping by Primates , 2003, PLoS biology.
[12] 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.
[13] N. Hatsopoulos,et al. Propagating waves mediate information transfer in the motor cortex , 2006, Nature Neuroscience.
[14] Emery N. Brown,et al. Dynamic Analysis of Neural Encoding by Point Process Adaptive Filtering , 2004, Neural Computation.
[15] R. Andersen,et al. Selecting the signals for a brain–machine interface , 2004, Current Opinion in Neurobiology.
[16] B. Costello,et al. The human volatilome: volatile organic compounds (VOCs) in exhaled breath, skin emanations, urine, feces and saliva , 2014, Journal of breath research.
[17] Wei Wu,et al. Bayesian Population Decoding of Motor Cortical Activity Using a Kalman Filter , 2006, Neural Computation.
[18] J D Simeral,et al. Continuous neuronal ensemble control of simulated arm reaching by a human with tetraplegia , 2011, Journal of neural engineering.
[19] L. Paninski,et al. Common-input models for multiple neural spike-train data , 2007, Network.
[20] Matthew Fellows,et al. Robustness of neuroprosthetic decoding algorithms , 2003, Biological Cybernetics.
[21] Uri T Eden,et al. A point process framework for relating neural spiking activity to spiking history, neural ensemble, and extrinsic covariate effects. , 2005, Journal of neurophysiology.
[22] J. Csicsvari,et al. Massively parallel recording of unit and local field potentials with silicon-based electrodes. , 2003, Journal of neurophysiology.
[23] Liam Paninski,et al. Population decoding of motor cortical activity using a generalized linear model with hidden states , 2010, Journal of Neuroscience Methods.
[24] L R Hochberg,et al. Efficient Decoding With Steady-State Kalman Filter in Neural Interface Systems , 2011, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[25] Trent J. Bradberry,et al. Reconstructing Three-Dimensional Hand Movements from Noninvasive Electroencephalographic Signals , 2010, The Journal of Neuroscience.
[26] Mikhail A Lebedev,et al. Stable Ensemble Performance with Single-neuron Variability during Reaching Movements in Primates , 2022 .
[27] John P. Cunningham,et al. A High-Performance Neural Prosthesis Enabled by Control Algorithm Design , 2012, Nature Neuroscience.
[28] Justin C. Sanchez,et al. Quantifying long-term microelectrode array functionality using chronic in vivo impedance testing , 2012, Journal of neural engineering.
[29] Michael J. Black,et al. Assistive technology and robotic control using motor cortex ensemble‐based neural interface systems in humans with tetraplegia , 2007, The Journal of physiology.
[30] Prabhat,et al. Inferring Attentional State and Kinematics from Motor Cortical Firing Rates , 2005, 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference.
[31] Wei Wu,et al. Real-Time Decoding of Nonstationary Neural Activity in Motor Cortex , 2008, IEEE Transactions on Neural Systems and Rehabilitation Engineering.
[32] Y. Benjamini,et al. THE CONTROL OF THE FALSE DISCOVERY RATE IN MULTIPLE TESTING UNDER DEPENDENCY , 2001 .
[33] Marc W. Slutzky,et al. Control of a biomimetic brain machine interface with local field potentials: Performance and stability of a static decoder over 200 days , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[34] Marc W Slutzky,et al. Statistical assessment of the stability of neural movement representations. , 2011, Journal of neurophysiology.
[35] V. Gilja,et al. Neural Recording Stability of Chronic Electrode Arrays in Freely Behaving Primates , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.
[36] K. I. Blum,et al. Experience-Dependent Changes in Extracellular Spike Amplitude May Reflect Regulation of Dendritic Action Potential Back-Propagation in Rat Hippocampal Pyramidal Cells , 2001, The Journal of Neuroscience.
[37] Steven M Chase,et al. Control of a brain–computer interface without spike sorting , 2009, Journal of neural engineering.
[38] E. Bizzi,et al. Neuronal Correlates of Motor Performance and Motor Learning in the Primary Motor Cortex of Monkeys Adapting to an External Force Field , 2001, Neuron.
[39] E. Fetz,et al. Compact movable microwire array for long-term chronic unit recording in cerebral cortex of primates. , 2007, Journal of neurophysiology.
[40] Krishna V. Shenoy,et al. Challenges and Opportunities for Next-Generation Intracortically Based Neural Prostheses , 2011, IEEE Transactions on Biomedical Engineering.
[41] Eran Stark,et al. Predicting Movement from Multiunit Activity , 2007, The Journal of Neuroscience.
[42] Dawn M. Taylor,et al. Direct Cortical Control of 3D Neuroprosthetic Devices , 2002, Science.
[43] A. Schwartz,et al. High-performance neuroprosthetic control by an individual with tetraplegia , 2013, The Lancet.
[44] William J Tyler,et al. A quantitative overview of biophysical forces impinging on neural function , 2013, Physical biology.
[45] Nicholas G. Hatsopoulos,et al. Brain-machine interface: Instant neural control of a movement signal , 2002, Nature.
[46] L. Miller,et al. Accurate decoding of reaching movements from field potentials in the absence of spikes , 2012, Journal of neural engineering.
[47] Jon A. Mukand,et al. Neuronal ensemble control of prosthetic devices by a human with tetraplegia , 2006, Nature.
[48] J. Krakauer,et al. An Implicit Plan Overrides an Explicit Strategy during Visuomotor Adaptation , 2006, The Journal of Neuroscience.
[49] R.R. Harrison,et al. Validation of adaptive threshold spike detector for neural recording , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[50] Michael J. Black,et al. Neural control of cursor trajectory and click by a human with tetraplegia 1000 days after implant of an intracortical microelectrode array , 2011 .
[51] Andrew S. Whitford,et al. Cortical control of a prosthetic arm for self-feeding , 2008, Nature.
[52] S. Meagher. Instant neural control of a movement signal , 2002 .
[53] Y. Benjamini,et al. Controlling the false discovery rate: a practical and powerful approach to multiple testing , 1995 .
[54] Robert F. Kirsch,et al. Command of an upper extremity FES system using a simple set of commands , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[55] Bradley Greger,et al. The functional consequences of chronic, physiologically effective intracortical microstimulation. , 2011, Progress in brain research.
[56] C. Koch,et al. On the origin of the extracellular action potential waveform: A modeling study. , 2006, Journal of neurophysiology.
[57] L. Miller,et al. Decoding the rat forelimb movement direction from epidural and intracortical field potentials , 2011, Journal of neural engineering.
[58] Jiping He,et al. Neuron selection and visual training for population vector based cortical control , 2004, The 26th Annual International Conference of the IEEE Engineering in Medicine and Biology Society.
[59] M. Schieber,et al. Rapid Changes in Throughput from Single Motor Cortex Neurons to Muscle Activity , 2007, Science.
[60] Teresa H. Y. Meng,et al. HermesB: A Continuous Neural Recording System for Freely Behaving Primates , 2007, IEEE Transactions on Biomedical Engineering.
[61] Robert D Flint,et al. Local field potentials allow accurate decoding of muscle activity. , 2012, Journal of neurophysiology.
[62] Robert E Kass,et al. Functional network reorganization during learning in a brain-computer interface paradigm , 2008, Proceedings of the National Academy of Sciences.
[63] John P. Cunningham,et al. Single-Neuron Stability during Repeated Reaching in Macaque Premotor Cortex , 2007, The Journal of Neuroscience.
[64] Vikash Gilja,et al. Long-term Stability of Neural Prosthetic Control Signals from Silicon Cortical Arrays in Rhesus Macaque Motor Cortex , 2010 .
[65] S. Solla,et al. Toward the Restoration of Hand Use to a Paralyzed Monkey: Brain-Controlled Functional Electrical Stimulation of Forearm Muscles , 2009, PloS one.
[66] J. Carmena,et al. Emergence of a Stable Cortical Map for Neuroprosthetic Control , 2009, PLoS biology.