John Cunningham
John Cunningham
Associate Professor, Columbia University
Verified email at - Homepage
TitleCited byYear
Neural population dynamics during reaching
MM Churchland, JP Cunningham, MT Kaufman, JD Foster, P Nuyujukian, ...
Nature 487 (7405), 51, 2012
Stimulus onset quenches neural variability: a widespread cortical phenomenon
MM Churchland, MY Byron, JP Cunningham, LP Sugrue, MR Cohen, ...
Nature neuroscience 13 (3), 369, 2010
Dimensionality reduction for large-scale neural recordings
JP Cunningham, MY Byron
Nature neuroscience 17 (11), 1500, 2014
Influence of heart rate on the BOLD signal: the cardiac response function
C Chang, JP Cunningham, GH Glover
Neuroimage 44 (3), 857-869, 2009
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity
MY Byron, JP Cunningham, G Santhanam, SI Ryu, KV Shenoy, M Sahani
Advances in neural information processing systems, 1881-1888, 2009
A high-performance neural prosthesis enabled by control algorithm design
V Gilja, P Nuyujukian, CA Chestek, JP Cunningham, MY Byron, JM Fan, ...
Nature neuroscience 15 (12), 1752, 2012
Linear dimensionality reduction: Survey, insights, and generalizations
JP Cunningham, Z Ghahramani
The Journal of Machine Learning Research 16 (1), 2859-2900, 2015
Cortical preparatory activity: representation of movement or first cog in a dynamical machine?
MM Churchland, JP Cunningham, MT Kaufman, SI Ryu, KV Shenoy
Neuron 68 (3), 387-400, 2010
Long-term stability of neural prosthetic control signals from silicon cortical arrays in rhesus macaque motor cortex
CA Chestek, V Gilja, P Nuyujukian, JD Foster, JM Fan, MT Kaufman, ...
Journal of neural engineering 8 (4), 045005, 2011
Empirical models of spiking in neural populations
JH Macke, L Buesing, JP Cunningham, MY Byron, KV Shenoy, M Sahani
Advances in neural information processing systems, 1350-1358, 2011
Bayesian Optimization with Inequality Constraints.
JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham
ICML, 937-945, 2014
A closed-loop human simulator for investigating the role of feedback control in brain-machine interfaces
JP Cunningham, P Nuyujukian, V Gilja, CA Chestek, SI Ryu, KV Shenoy
Journal of neurophysiology 105 (4), 1932-1949, 2010
Single-neuron stability during repeated reaching in macaque premotor cortex
CA Chestek, AP Batista, G Santhanam, MY Byron, A Afshar, ...
Journal of Neuroscience 27 (40), 10742-10750, 2007
Fast kernel learning for multidimensional pattern extrapolation
AG Wilson, E Gilboa, A Nehorai, JP Cunningham
Advances in Neural Information Processing Systems, 3626-3634, 2014
Single-trial dynamics of motor cortex and their applications to brain-machine interfaces
JC Kao, P Nuyujukian, SI Ryu, MM Churchland, JP Cunningham, ...
Nature communications 6, 7759, 2015
Inferring neural firing rates from spike trains using Gaussian processes
JP Cunningham, MY Byron, KV Shenoy, M Sahani
Advances in neural information processing systems, 329-336, 2008
Fast Gaussian process methods for point process intensity estimation
JP Cunningham, KV Shenoy, M Sahani
Proceedings of the 25th international conference on Machine learning, 192-199, 2008
Reorganization between preparatory and movement population responses in motor cortex
GF Elsayed, AH Lara, MT Kaufman, MM Churchland, JP Cunningham
Nature communications 7, 13239, 2016
Methods for estimating neural firing rates, and their application to brain–machine interfaces
JP Cunningham, V Gilja, SI Ryu, KV Shenoy
Neural Networks 22 (9), 1235-1246, 2009
Black box variational inference for state space models
E Archer, IM Park, L Buesing, J Cunningham, L Paninski
arXiv preprint arXiv:1511.07367, 2015
The system can't perform the operation now. Try again later.
Articles 1–20