| Neural population dynamics during reaching MM Churchland, JP Cunningham, MT Kaufman, JD Foster, P Nuyujukian, ... Nature 487 (7405), 51-56, 2012 | 965 | 2012 |
| Stimulus onset quenches neural variability: a widespread cortical phenomenon MM Churchland, MY Byron, JP Cunningham, LP Sugrue, MR Cohen, ... Nature neuroscience 13 (3), 369-378, 2010 | 845 | 2010 |
| Dimensionality reduction for large-scale neural recordings JP Cunningham, MY Byron Nature neuroscience 17 (11), 1500-1509, 2014 | 573 | 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 | 506 | 2009 |
| Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity BM Yu, JP Cunningham, G Santhanam, SI Ryu, KV Shenoy, M Sahani Journal of neurophysiology 102 (1), 614-635, 2009 | 482 | 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), 1752-1757, 2012 | 418 | 2012 |
| Linear dimensionality reduction: Survey, insights, and generalizations JP Cunningham, Z Ghahramani The Journal of Machine Learning Research 16 (1), 2859-2900, 2015 | 381 | 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 | 314 | 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 | 271 | 2011 |
| Bayesian Optimization with Inequality Constraints. JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham ICML 2014, 937-945, 2014 | 228 | 2014 |
| Empirical models of spiking in neural populations JH Macke, L Buesing, JP Cunningham, BM Yu, KV Shenoy, M Sahani Advances in Neural Information Processing Systems 24: 25th conference on …, 2012 | 186 | 2012 |
| 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, 2011 | 151 | 2011 |
| Reorganization between preparatory and movement population responses in motor cortex GF Elsayed, AH Lara, MT Kaufman, MM Churchland, JP Cunningham Nature communications 7 (1), 1-15, 2016 | 146 | 2016 |
| 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 | 137 | 2007 |
| Fast Kernel Learning for Multidimensional Pattern Extrapolation. AG Wilson, E Gilboa, JP Cunningham, A Nehorai NIPS, 3626-3634, 2014 | 131 | 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 (1), 1-12, 2015 | 118 | 2015 |
| Black box variational inference for state space models E Archer, IM Park, L Buesing, J Cunningham, L Paninski arXiv preprint arXiv:1511.07367, 2015 | 107 | 2015 |
| Linear dynamical neural population models through nonlinear embeddings Y Gao, E Archer, L Paninski, JP Cunningham arXiv preprint arXiv:1605.08454, 2016 | 100 | 2016 |
| 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 | 95 | 2008 |
| 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 | 94 | 2009 |
Krishna V ShenoyStanford & HHMIVerified email at stanford.edu
