John Cunningham

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Krishna V ShenoyStanford and Howard Hughes Medical InstituteVerifierad e-postadress på stanford.edu
Stephen RyuPalo Alto Medical Foundation / Stanford UniversityVerifierad e-postadress på stanford.edu
Mark ChurchlandProfessor of Neuroscience, Columbia UniversityVerifierad e-postadress på columbia.edu
Byron YuCarnegie Mellon UniversityVerifierad e-postadress på cmu.edu
Liam PaninskiColumbia UniversityVerifierad e-postadress på stat.columbia.edu
Paul NuyujukianStanford UniversityVerifierad e-postadress på stanford.edu
Vikash GiljaAssociate Professor, Electrical & Computer Engineering, University of California, San DiegoVerifierad e-postadress på ucsd.edu
Matthew T KaufmanAssistant Professor at University of ChicagoVerifierad e-postadress på uchicago.edu
Maneesh SahaniGatsby Unit, UCLVerifierad e-postadress på gatsby.ucl.ac.uk
Cynthia ChestekUniversity of MichiganVerifierad e-postadress på umich.edu
Gamaleldin ElsayedSenior Research Scientist, Google Research, Brain TeamVerifierad e-postadress på google.com
Lars BuesingGoogle DeepMindVerifierad e-postadress på google.com
Jonathan KaoUniversity of California, Los AngelesVerifierad e-postadress på seas.ucla.edu
Shreya SaxenaAssistant Professor, Department of Electrical and Computer Engineering, University of FloridaVerifierad e-postadress på ufl.edu
Jacob GardnerUniversity of PennsylvaniaVerifierad e-postadress på seas.upenn.edu
Elad GilboaVerifierad e-postadress på ese.wustl.edu
Antonio Homero LaraVerifierad e-postadress på columbia.edu
Anne K. ChurchlandUniversity of California Los AngelesVerifierad e-postadress på mednet.ucla.edu
Zoubin GhahramaniProfessor, University of Cambridge, and Distinguished Researcher, GoogleVerifierad e-postadress på eng.cam.ac.uk
Sean R. BittnerResearch Scientist at MetaVerifierad e-postadress på fb.com

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John Cunningham

Professor, Columbia University

Verifierad e-postadress på columbia.edu - Startsida

machine learning neuroscience


Titel Sortera efter citat Sortera efter år Sortera efter titel	Citeras av Citeras av	År
Neural population dynamics during reaching MM Churchland, JP Cunningham, MT Kaufman, JD Foster, P Nuyujukian, ... Nature 487 (7405), 51-56, 2012	1266	2012
Stimulus onset quenches neural variability: a widespread cortical phenomenon MM Churchland, BM Yu, JP Cunningham, LP Sugrue, MR Cohen, ... Nature neuroscience 13 (3), 369-378, 2010	999	2010
Dimensionality reduction for large-scale neural recordings JP Cunningham, BM Yu Nature neuroscience 17 (11), 1500-1509, 2014	819	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	633	2009
Gaussian-process factor analysis for low-dimensional single-trial analysis of neural population activity BM Yu, JP Cunningham, G Santhanam, S Ryu, KV Shenoy, M Sahani Advances in neural information processing systems 21, 2008	621	2008
Linear dimensionality reduction: Survey, insights, and generalizations JP Cunningham, Z Ghahramani The Journal of Machine Learning Research 16 (1), 2859-2900, 2015	552	2015
A high-performance neural prosthesis enabled by control algorithm design V Gilja, P Nuyujukian, CA Chestek, JP Cunningham, BM Yu, JM Fan, ... Nature neuroscience 15 (12), 1752-1757, 2012	482	2012
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	402	2010
Bayesian optimization with inequality constraints. JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham ICML 2014, 937-945, 2014	349	2014
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	320	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	239	2016
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, 2011	219	2011
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	169	2011
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	165	2007
Motor cortex embeds muscle-like commands in an untangled population response AA Russo, SR Bittner, SM Perkins, JS Seely, BM London, AH Lara, A Miri, ... Neuron 97 (4), 953-966. e8, 2018	164	2018
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	160	2015
Fast kernel learning for multidimensional pattern extrapolation AG Wilson, E Gilboa, A Nehorai, JP Cunningham Advances in neural information processing systems 27, 2014	145	2014
Towards the neural population doctrine S Saxena, JP Cunningham Current opinion in neurobiology 55, 103-111, 2019	140	2019
Linear dynamical neural population models through nonlinear embeddings Y Gao, EW Archer, L Paninski, JP Cunningham Advances in neural information processing systems 29, 2016	136	2016
Black box variational inference for state space models E Archer, IM Park, L Buesing, J Cunningham, L Paninski arXiv preprint arXiv:1511.07367, 2015	136	2015

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