Saurabh Vyas

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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
Philippe BurlinaJHU/CS, JHU/SOM, JHU/APL, Malone MCEHAdresse e-mail validée de jhuapl.edu
Daniel J O'SheaStanford UniversityAdresse e-mail validée de stanford.edu
Xulu SunUniversity of California, San FranciscoAdresse e-mail validée de ucsf.edu
Matthew GolubAssistant ProfessorAdresse e-mail validée de cs.washington.edu
Surya GanguliAssociate Professor, Stanford UniversityAdresse e-mail validée de stanford.edu
Sergey D. StaviskyAssistant Professor, University of California, DavisAdresse e-mail validée de ucdavis.edu
Amit BanerjeeJohns Hopkins University Applied Physics LaboratoryAdresse e-mail validée de jhuapl.edu
Scott DelpProfessor of Bioengineering and Mechanical Engineering, Stanford UniversityAdresse e-mail validée de stanford.edu
David SussilloMeta Reality Labs and Adjunct Professor @ StanfordAdresse e-mail validée de stanford.edu
Matthew T KaufmanAssistant Professor at University of ChicagoAdresse e-mail validée de uchicago.edu
Charu RamakrishnanAdresse e-mail validée de stanford.edu
Nir Even-ChenNeuralinkAdresse e-mail validée de neuralink.com
Alex H WilliamsNew York University & Flatiron InstituteAdresse e-mail validée de nyu.edu
Tony Hyun KimStanford UniversityAdresse e-mail validée de stanford.edu
Mark J. SchnitzerProfessor, HHMI Investigator, Stanford UniversityAdresse e-mail validée de stanford.edu
K. Cora AmesSanofi, Precision Medicine and Computational BiologyAdresse e-mail validée de sanofi.com
Subhaneil LahiriResearch Scientist, Department of Applied Physics, Stanford UniversityAdresse e-mail validée de stanford.edu
Shrivats IyerData Scientist, Facebook (previously PhD student, Bioengineering at Stanford)Adresse e-mail validée de fb.com

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Saurabh Vyas

Postdoctoral Fellow, Columbia University

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

systems neuroscience motor control cognitive neuroscience


Titre Trier par citations Trier par année Trier par titre	Citée par Citée par	Année
Computation through neural population dynamics S Vyas, MD Golub, D Sussillo, KV Shenoy Annual review of neuroscience 43 (1), 249-275, 2020	619	2020
Unsupervised discovery of demixed, low-dimensional neural dynamics across multiple timescales through tensor component analysis AH Williams, TH Kim, F Wang, S Vyas, SI Ryu, KV Shenoy, M Schnitzer, ... Neuron 98 (6), 1099-1115. e8, 2018	299	2018
MRBrainS challenge: online evaluation framework for brain image segmentation in 3T MRI scans AM Mendrik, KL Vincken, HJ Kuijf, M Breeuwer, WH Bouvy, J De Bresser, ... Computational intelligence and neuroscience 2015 (1), 813696, 2015	290	2015
Accurate estimation of neural population dynamics without spike sorting EM Trautmann, SD Stavisky, S Lahiri, KC Ames, MT Kaufman, DJ O’Shea, ... Neuron 103 (2), 292-308. e4, 2019	257	2019
Neural population dynamics underlying motor learning transfer S Vyas, N Even-Chen, SD Stavisky, SI Ryu, P Nuyujukian, KV Shenoy Neuron 97 (5), 1177-1186. e3, 2018	140	2018
Cortical preparatory activity indexes learned motor memories X Sun, DJ O’Shea, MD Golub, EM Trautmann, S Vyas, SI Ryu, KV Shenoy Nature 602 (7896), 274-279, 2022	85*	2022
In vivo interrogation of spinal mechanosensory circuits AJ Christensen, SM Iyer, A Francois, S Vyas, C Ramakrishnan, S Vesuna, ... Cell reports 17 (6), 1699-1710, 2016	81	2016
Causal role of motor preparation during error-driven learning S Vyas, DJ O’Shea, SI Ryu, KV Shenoy Neuron 106 (2), 329-339. e4, 2020	67	2020
Estimating physiological skin parameters from hyperspectral signatures S Vyas, A Banerjee, P Burlina Journal of biomedical optics 18 (5), 057008-057008, 2013	43	2013
Large-scale high-density brain-wide neural recording in nonhuman primates EM Trautmann, JK Hesse, GM Stine, R Xia, S Zhu, DJ O’Shea, B Karsh, ... BioRxiv, 2023.02. 01.526664, 2023	41	2023
Structure and variability of delay activity in premotor cortex N Even-Chen, B Sheffer, S Vyas, SI Ryu, KV Shenoy PLoS computational biology 15 (2), e1006808, 2019	34	2019
Non-invasive estimation of skin thickness from hyperspectral imaging and validation using echography S Vyas, J Meyerle, P Burlina Computers in biology and medicine 57, 173-181, 2015	29	2015
Direct neural perturbations reveal a dynamical mechanism for robust computation DJ O’Shea, L Duncker, W Goo, X Sun, S Vyas, EM Trautmann, I Diester, ... bioRxiv, 2022.12. 16.520768, 2022	23	2022
High-fidelity musculoskeletal modeling reveals that motor planning variability contributes to the speed-accuracy tradeoff M Al Borno, S Vyas, KV Shenoy, SL Delp Elife 9, e57021, 2020	23*	2020
Computational modeling of skin reflectance spectra for biological parameter estimation through machine learning S Vyas, H Van Nguyen, P Burlina, A Banerjee, L Garza, R Chellappa Algorithms and Technologies for Multispectral, Hyperspectral, and …, 2012	13	2012
Hyperspectral signature analysis of skin parameters S Vyas, A Banerjee, L Garza, S Kang, P Burlina Medical Imaging 2013: Computer-Aided Diagnosis 8670, 867002, 2013	12	2013
Neuronal complexity in subthalamic nucleus is reduced in Parkinson’s disease S Vyas, H Huang, JT Gale, SV Sarma, EB Montgomery IEEE Transactions on Neural Systems and Rehabilitation Engineering 24 (1), 36-45, 2015	11	2015
Medical Imaging 2013: Computer‐Aided Diagnosis S Vyas, A Banerjee, L Garza, S Kang, P Burlina International Society for Optics and Photonics, 8670, 2013	10	2013
Machine learning methods for in vivo skin parameter estimation S Vyas, A Banerjee, P Burlina Proceedings of the 26th IEEE International Symposium on Computer-Based …, 2013	9	2013
Intraoperative ultrasound to stereocamera registration using interventional photoacoustic imaging S Vyas, S Su, R Kim, N Kuo, RH Taylor, JU Kang, EM Boctor Medical Imaging 2012: Image-Guided Procedures, Robotic Interventions, and …, 2012	9	2012

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