John Cunningham

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Krishna V ShenoyStanford and Howard Hughes Medical InstituteAdresse e-mail validée de stanford.edu
Stephen RyuPalo Alto Medical Foundation / Stanford UniversityAdresse e-mail validée de stanford.edu
Mark ChurchlandProfessor of Neuroscience, Columbia UniversityAdresse e-mail validée de columbia.edu
Byron YuCarnegie Mellon UniversityAdresse e-mail validée de cmu.edu
Liam PaninskiColumbia UniversityAdresse e-mail validée de stat.columbia.edu
Paul NuyujukianStanford UniversityAdresse e-mail validée de stanford.edu
Vikash GiljaAssociate Professor, Electrical & Computer Engineering, University of California, San DiegoAdresse e-mail validée de ucsd.edu
Matthew T KaufmanAssistant Professor at University of ChicagoAdresse e-mail validée de uchicago.edu
Maneesh SahaniGatsby Unit, UCLAdresse e-mail validée de gatsby.ucl.ac.uk
Cynthia ChestekUniversity of MichiganAdresse e-mail validée de umich.edu
Gamaleldin ElsayedResearch Scientist, Google DeepMindAdresse e-mail validée de google.com
Shreya SaxenaAssistant Professor, Wu Tsai Institute and Department of Biomedical Engineering, Yale UniversityAdresse e-mail validée de yale.edu
Jacob GardnerUniversity of PennsylvaniaAdresse e-mail validée de seas.upenn.edu
Lars BuesingGoogle DeepMindAdresse e-mail validée de google.com
Jonathan KaoUniversity of California, Los AngelesAdresse e-mail validée de seas.ucla.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityAdresse e-mail validée de columbia.edu
Antonio Homero LaraAdresse e-mail validée de columbia.edu
Elad GilboaAdresse e-mail validée de ese.wustl.edu
Anne K. ChurchlandUniversity of California Los AngelesAdresse e-mail validée de mednet.ucla.edu
Abigail RussoColumbia UniversityAdresse e-mail validée de princeton.edu

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John Cunningham

Professor, Columbia University

Adresse e-mail validée de columbia.edu - Page d'accueil

machine learning neuroscience


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Neural population dynamics during reaching MM Churchland, JP Cunningham, MT Kaufman, JD Foster, P Nuyujukian, ... Nature 487 (7405), 51-56, 2012	1785	2012
Dimensionality reduction for large-scale neural recordings JP Cunningham, BM Yu Nature neuroscience 17 (11), 1500-1509, 2014	1256	2014
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	1214	2010
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	840	2008
Linear dimensionality reduction: Survey, insights, and generalizations JP Cunningham, Z Ghahramani The Journal of Machine Learning Research 16 (1), 2859-2900, 2015	799	2015
Influence of heart rate on the BOLD signal: the cardiac response function C Chang, JP Cunningham, GH Glover Neuroimage 44 (3), 857-869, 2009	792	2009
Bayesian optimization with inequality constraints. JR Gardner, MJ Kusner, ZE Xu, KQ Weinberger, JP Cunningham ICML 2014, 937-945, 2014	640	2014
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	614	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	558	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	400	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), 13239, 2016	393	2016
Towards the neural population doctrine S Saxena, JP Cunningham Current opinion in neurobiology 55, 103-111, 2019	342	2019
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	300	2011
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	290	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), 7759, 2015	221	2015
Almanac—retrieval-augmented language models for clinical medicine C Zakka, R Shad, A Chaurasia, AR Dalal, JL Kim, M Moor, R Fong, ... NEJM AI 1 (2), AIoa2300068, 2024	199	2024
Linear dynamical neural population models through nonlinear embeddings Y Gao, EW Archer, L Paninski, JP Cunningham Advances in neural information processing systems 29, 2016	197	2016
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	197	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	195	2007
Fast kernel learning for multidimensional pattern extrapolation AG Wilson, E Gilboa, A Nehorai, JP Cunningham Advances in neural information processing systems 27, 2014	193	2014

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