Krishna V Shenoy, Maneesh Sahani, Mark M Churchland. Annu Rev Neurosci 2013
Times Cited: 319
Times Cited: 319
Times Cited
Times Co-cited
Similarity
Neural population dynamics during reaching.
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. Nature 2012
Mark M Churchland, John P Cunningham, Matthew T Kaufman, Justin D Foster, Paul Nuyujukian, Stephen I Ryu, Krishna V Shenoy. Nature 2012
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Cortical activity in the null space: permitting preparation without movement.
Matthew T Kaufman, Mark M Churchland, Stephen I Ryu, Krishna V Shenoy. Nat Neurosci 2014
Matthew T Kaufman, Mark M Churchland, Stephen I Ryu, Krishna V Shenoy. Nat Neurosci 2014
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Context-dependent computation by recurrent dynamics in prefrontal cortex.
Valerio Mante, David Sussillo, Krishna V Shenoy, William T Newsome. Nature 2013
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Dimensionality reduction for large-scale neural recordings.
John P Cunningham, Byron M Yu. Nat Neurosci 2014
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Cortical preparatory activity: representation of movement or first cog in a dynamical machine?
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Neural constraints on learning.
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The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement Type.
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Reorganization between preparatory and movement population responses in motor cortex.
Gamaleldin F Elsayed, Antonio H Lara, Matthew T Kaufman, Mark M Churchland, John P Cunningham. Nat Commun 2016
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Inferring single-trial neural population dynamics using sequential auto-encoders.
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A neural network that finds a naturalistic solution for the production of muscle activity.
David Sussillo, Mark M Churchland, Matthew T Kaufman, Krishna V Shenoy. Nat Neurosci 2015
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Neural Manifolds for the Control of Movement.
Juan A Gallego, Matthew G Perich, Lee E Miller, Sara A Solla. Neuron 2017
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Motor Cortex Embeds Muscle-like Commands in an Untangled Population Response.
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Demixed principal component analysis of neural population data.
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Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics.
Evan D Remington, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Neuron 2018
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Neural Population Dynamics during Reaching Are Better Explained by a Dynamical System than Representational Tuning.
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Computation Through Neural Population Dynamics.
Saurabh Vyas, Matthew D Golub, David Sussillo, Krishna V Shenoy. Annu Rev Neurosci 2020
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Cortical pattern generation during dexterous movement is input-driven.
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Neural dynamics of reaching following incorrect or absent motor preparation.
K Cora Ames, Stephen I Ryu, Krishna V Shenoy. Neuron 2014
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Spontaneous behaviors drive multidimensional, brainwide activity.
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Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity.
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
Byron M Yu, John P Cunningham, Gopal Santhanam, Stephen I Ryu, Krishna V Shenoy, Maneesh Sahani. J Neurophysiol 2009
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Flexible timing by temporal scaling of cortical responses.
Jing Wang, Devika Narain, Eghbal A Hosseini, Mehrdad Jazayeri. Nat Neurosci 2018
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Anticipatory activity of motor cortex neurons in relation to direction of an intended movement.
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Accurate Estimation of Neural Population Dynamics without Spike Sorting.
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Neuronal population coding of movement direction.
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Bayesian Computation through Cortical Latent Dynamics.
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Learning by neural reassociation.
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Fully integrated silicon probes for high-density recording of neural activity.
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Maintenance of persistent activity in a frontal thalamocortical loop.
Zengcai V Guo, Hidehiko K Inagaki, Kayvon Daie, Shaul Druckmann, Charles R Gerfen, Karel Svoboda. Nature 2017
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Single-trial dynamics of motor cortex and their applications to brain-machine interfaces.
Jonathan C Kao, Paul Nuyujukian, Stephen I Ryu, Mark M Churchland, John P Cunningham, Krishna V Shenoy. Nat Commun 2015
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Conservation of preparatory neural events in monkey motor cortex regardless of how movement is initiated.
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Cortical Areas Interact through a Communication Subspace.
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Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.
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Single-trial neural correlates of arm movement preparation.
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New neural activity patterns emerge with long-term learning.
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Single-trial neural dynamics are dominated by richly varied movements.
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A Dynamical Systems Perspective on Flexible Motor Timing.
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Neural variability in premotor cortex provides a signature of motor preparation.
Mark M Churchland, Byron M Yu, Stephen I Ryu, Gopal Santhanam, Krishna V Shenoy. J Neurosci 2006
Mark M Churchland, Byron M Yu, Stephen I Ryu, Gopal Santhanam, Krishna V Shenoy. J Neurosci 2006
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Temporal complexity and heterogeneity of single-neuron activity in premotor and motor cortex.
Mark M Churchland, Krishna V Shenoy. J Neurophysiol 2007
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The importance of mixed selectivity in complex cognitive tasks.
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A central source of movement variability.
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Neural Population Dynamics Underlying Motor Learning Transfer.
Saurabh Vyas, Nir Even-Chen, Sergey D Stavisky, Stephen I Ryu, Paul Nuyujukian, Krishna V Shenoy. Neuron 2018
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A Neural Population Mechanism for Rapid Learning.
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Different population dynamics in the supplementary motor area and motor cortex during reaching.
A H Lara, J P Cunningham, M M Churchland. Nat Commun 2018
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Cortical population activity within a preserved neural manifold underlies multiple motor behaviors.
Juan A Gallego, Matthew G Perich, Stephanie N Naufel, Christian Ethier, Sara A Solla, Lee E Miller. Nat Commun 2018
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Navigating the Neural Space in Search of the Neural Code.
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Neural Trajectories in the Supplementary Motor Area and Motor Cortex Exhibit Distinct Geometries, Compatible with Different Classes of Computation.
Abigail A Russo, Ramin Khajeh, Sean R Bittner, Sean M Perkins, John P Cunningham, L F Abbott, Mark M Churchland. Neuron 2020
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Co-cited is the co-citation frequency, indicating how many articles cite the article together with the query article. Similarity is the co-citation as percentage of the times cited of the query article or the article in the search results, whichever is the lowest. These numbers are calculated for the last 100 citations when articles are cited more than 100 times.