Research Topics
| Mark M ChurchlandSummaryAffiliation: Stanford University Country: USA Publications
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Detail Information
Publications
Evidence for object permanence in the smooth-pursuit eye movements of monkeysMark M Churchland
Howard Hughes Medical Institute, San Francisco, California 94143, USA
J Neurophysiol 90:2205-18. 2003..Computer simulations show that these results are best understood by assuming that a mechanism of eye-velocity memory remains engaged during target occlusion but is disengaged during target blinks...- Constraints on the source of short-term motion adaptation in macaque area MT. I. the role of input and intrinsic mechanismsNicholas J Priebe
Howard Hughes Medical Institute, Department of Physiology, W M Keck Foundation, Center for Integrative Neuroscience, and the Neuroscience Graduate Program, University of California, San Francisco, California 94143, USA
J Neurophysiol 88:354-69. 2002..We propose that the short-term adaptation observed in area MT emerges from the intracortical circuit within MT... 
Neural variability in premotor cortex provides a signature of motor preparationMark M Churchland
Neurosciences Program, Stanford University, Stanford, California 94305, USA
J Neurosci 26:3697-712. 2006..These results reveal a remarkable degree of temporal structure in the variability of cortical neurons. The relationship with reaction time argues that the changes in variability approximately track the progress of motor preparation...- Preparatory activity in premotor and motor cortex reflects the speed of the upcoming reachMark M Churchland
Neurosciences Program and Department of Electrical Engineering, Stanford University, Stanford, CA 94305 4075, USA
J Neurophysiol 96:3130-46. 2006..We conclude that delay-period preparatory activity robustly reflects a nonspatial aspect of the upcoming reach. However, it is unclear whether the recorded neural responses conform to any simple reference frame, intrinsic or extrinsic... - A central source of movement variabilityMark M Churchland
Neurosciences Program, Stanford University, Stanford, California 94305, USA
Neuron 52:1085-96. 2006..Thus, even for a highly practiced task, the ability to repeatedly plan the same movement limits our ability to repeatedly execute the same movement... - Comparison of the spatial limits on direction selectivity in visual areas MT and V1Mark M Churchland
Neuroscience Graduate Program and Department of Physiology, Stanford University, 330 Serra Mall, CISX 312, Stanford, CA 94305 4075, USA
J Neurophysiol 93:1235-45. 2005.... - Cortical preparatory activity: representation of movement or first cog in a dynamical machine?Mark M Churchland
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Neuron 68:387-400. 2010..Our results thus suggest that preparatory activity may not represent specific factors, and may instead play a more mechanistic role... - Stimulus onset quenches neural variability: a widespread cortical phenomenonMark M Churchland
Department of Electrical Engineering, Stanford University School of Medicine, Stanford University, Stanford, California, USA
Nat Neurosci 13:369-78. 2010..This widespread variability decline suggests a rather general property of cortex, that its state is stabilized by an input... - Techniques for extracting single-trial activity patterns from large-scale neural recordingsMark M Churchland
Neurosciences Program and Department of Electrical Engineering, Stanford University, CISX, 330 Serra Mall, Stanford, CA 94305 4075, United States
Curr Opin Neurobiol 17:609-18. 2007.... - Single-neuron stability during repeated reaching in macaque premotor cortexCynthia A Chestek
Department of Electrical Engineering, Stanford University, Stanford, California 94305, USA
J Neurosci 27:10742-50. 2007.... - Roles of monkey premotor neuron classes in movement preparation and executionMatthew T Kaufman
Neurosciences Program, Stanford University, Stanford, California 94305 4075, USA
J Neurophysiol 104:799-810. 2010.... - Temporal complexity and heterogeneity of single-neuron activity in premotor and motor cortexMark M Churchland
Neurosciences Program and Department of Electrical Engineering, Stanford University, Stanford, California 94305 4075, USA
J Neurophysiol 97:4235-57. 2007..It has been argued that complex and heterogeneous responses are expected of a recurrent network that produces temporally patterned outputs, and the present results would seem to support this view... 
A high-performance neural prosthesis enabled by control algorithm designVikash Gilja
Department of Computer Science, Stanford University, Stanford, California, USA
Nat Neurosci 15:1752-7. 2012..Using this algorithm, we demonstrate repeatable high performance for years after implantation in two monkeys, thereby increasing the clinical viability of neural prostheses...- Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortexCynthia A Chestek
Department of Electrical Engineering, Stanford University, Stanford, CA, USA
J Neural Eng 8:045005. 2011..This suggests that neural prosthetic systems may provide high performance over multiple years in human clinical trials... - Increasing the performance of cortically-controlled prosthesesKrishna V Shenoy
Department of Electrical Engineering, Stanford University, Stanford, CA 94305, USA
Conf Proc IEEE Eng Med Biol Soc . 2006..Taken together, these results should substantially increase the clinical viability of cortical prostheses... - Delay of movement caused by disruption of cortical preparatory activityMark M Churchland
Department of Electrical Engineering and Neurosciences Program, 330 Serra Mall, Stanford University, Stanford CA 94305 4075, USA
J Neurophysiol 97:348-59. 2007..These results are readily interpreted in the context of the recently developed optimal-subspace hypothesis... - A dynamical systems view of motor preparation: implications for neural prosthetic system designKrishna V Shenoy
Department of Electrical Engineering, Stanford University, Stanford, California, USA
Prog Brain Res 192:33-58. 2011....