Shreya Saxena

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John CunninghamProfessor, Columbia UniversityPotvrđena adresa e-pošte na columbia.edu
Liam PaninskiColumbia UniversityPotvrđena adresa e-pošte na stat.columbia.edu
Anne K. ChurchlandUniversity of California Los AngelesPotvrđena adresa e-pošte na mednet.ucla.edu
Simon MusallResearch Center JuelichPotvrđena adresa e-pošte na fz-juelich.de
Taiga AbeGraduate Student, Columbia UniversityPotvrđena adresa e-pošte na columbia.edu
Ian KinsellaColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Sridevi SarmaJohns Hopkins UniversityPotvrđena adresa e-pošte na jhu.edu
Daiyao YiYale UniversityPotvrđena adresa e-pošte na yale.edu
João CoutoUniversity of California Los AngelesPotvrđena adresa e-pošte na ucla.edu
Yongxu ZhangPhD student, Yale UniversityPotvrđena adresa e-pošte na yale.edu
Tim H. MurphyUniversity of British ColumbiaPotvrđena adresa e-pošte na mail.ubc.ca
Catalin MitelutUniversity of Basel; NYUPotvrđena adresa e-pošte na alumni.ubc.ca
John T. Gale, PhDPotvrđena adresa e-pošte na galeneurotech.com
Matthew R WhitewayColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Sandeep Robert DattaProfessor of Neurobiology, Harvard UniversityPotvrđena adresa e-pošte na hms.harvard.edu
Scott LindermanStanford UniversityPotvrđena adresa e-pošte na stanford.edu
Dan BidermanStanford UniversityPotvrđena adresa e-pošte na cumc.columbia.edu
Jeffrey Evan MarkowitzAssistant Professor, BME, Georgia Tech and EmoryPotvrđena adresa e-pošte na bme.gatech.edu
Eleanor BattyColumbia UniversityPotvrđena adresa e-pošte na columbia.edu
Winthrop GillisPostdoctoral Associate, Harvard Medical SchoolPotvrđena adresa e-pošte na g.harvard.edu

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Shreya Saxena

Assistant Professor, Wu Tsai Institute and Department of Biomedical Engineering, Yale University

Potvrđena adresa e-pošte na yale.edu - Početna stranica

Computational Neuroscience Machine Learning Control Theory


Naslov Poredaj po navodima Poredaj po godini Poredaj po naslovu	Citirano Citirano	Godina
Towards the neural population doctrine S Saxena, JP Cunningham Current opinion in neurobiology 55, 103-111, 2019	345	2019
BehaveNet: nonlinear embedding and Bayesian neural decoding of behavioral videos E Batty, M Whiteway, S Saxena, D Biderman, T Abe, S Musall, W Gillis, ... Advances in Neural Information Processing Systems 32, 15706-15717, 2019	94	2019
Localized semi-nonnegative matrix factorization (LocaNMF) of widefield calcium imaging data S Saxena, I Kinsella, S Musall, SH Kim, J Meszaros, DN Thibodeaux, ... PLOS Computational Biology 16 (4), e1007791, 2020	79	2020
Motor cortex activity across movement speeds is predicted by network-level strategies for generating muscle activity S Saxena, AA Russo, J Cunningham, MM Churchland eLife 11, e67620, 2022	72	2022
Chronic, cortex-wide imaging of specific cell populations during behavior J Couto, S Musall, XR Sun, A Khanal, S Gluf, S Saxena, I Kinsella, T Abe, ... Nature protocols 16 (7), 3241-3263, 2021	69	2021
Neuroscience Cloud Analysis As a Service: An open-source platform for scalable, reproducible data analysis T Abe, I Kinsella, S Saxena, EK Buchanan, J Couto, J Briggs, SL Kitt, ... Neuron 110 (17), 2771-2789. e7, 2022	37	2022
Motor cortical influence relies on task-specific activity covariation CL Warriner, S Fageiry, S Saxena, RM Costa, A Miri Cell reports 40 (13), 2022	23	2022
Nonlinear Evolution via Spatially-Dependent Linear Dynamics for Electrophysiology and Calcium Data D Hernandez, AK Moretti, S Saxena, Z Wei, J Cunningham, L Paninski Neurons, Behavior, Data analysis, and Theory 3 (3), 13476, 2020	21	2020
Unsupervised human activity recognition learning for disassembly tasks X Zhang, D Yi, S Behdad, S Saxena IEEE Transactions on Industrial Informatics 20 (1), 785-794, 2023	20	2023
Next-generation brain observatories C Koch, K Svoboda, A Bernard, MA Basso, AK Churchland, AL Fairhall, ... Neuron 110 (22), 3661-3666, 2022	19	2022
Mesoscale cortex-wide neural dynamics predict self-initiated actions in mice several seconds prior to movement C Mitelut, Y Zhang, Y Sekino, JD Boyd, F Bollanos, NV Swindale, G Silasi, ... Elife 11, e76506, 2022	18	2022
A Novel Variational Family for Hidden Nonlinear Markov Models D Hernandez, AK Moretti, Z Wei, S Saxena, J Cunningham, L Paninski arXiv preprint arXiv:1811.02459, 2018	16	2018
Aggregate Input-Output Models of Neuronal Populations S Saxena, MH Schieber, NV Thakor, SV Sarma Biomedical Engineering, IEEE Transactions on 59 (7), 2030-2039, 2012	13	2012
Point process models show temporal dependencies of basal ganglia nuclei under deep brain stimulation S Saxena, S Santaniello, EB Montgomery, JT Gale, SV Sarma 2010 Annual International Conference of the IEEE Engineering in Medicine and …, 2010	12	2010
Artificial neural network-based rapid predictor of biological nerve fiber activation for DBS applications J Golabek, M Schiefer, JK Wong, S Saxena, E Patrick Journal of Neural Engineering 20 (1), 016001, 2023	7	2023
Disentangled multi-subject and social behavioral representations through a constrained subspace variational autoencoder (CS-VAE) D Yi, S Musall, A Churchland, N Padilla-Coreano, S Saxena bioRxiv, 2022.09. 01.506091, 2022	6	2022
μSim: A goal-driven framework for elucidating the neural control of movement through musculoskeletal modeling MN Almani, J Lazzari, A Chacon, S Saxena bioRxiv, 2024.02. 02.578628, 2024	5	2024
Neuromatch Academy: a 3-week, online summer school in computational neuroscience B t Hart, T Achakulvisut, A Adeyemi, A Akrami, B Alicea, A Alonso-Andres, ... Journal of Open Source Education 5 (49), 118, 2022	5	2022
Performance Limitations in Sensorimotor Control: Trade-Offs Between Neural Computation and Accuracy in Tracking Fast Movements S Saxena, SV Sarma, M Dahleh Neural Computation 32 (5), 865-886, 2020	5	2020
Analyzing the effect of an integrate and fire encoder and decoder in feedback S Saxena, M Dahleh 53rd IEEE Conference on Decision and Control, 3821-3828, 2014	5	2014

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