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Saurabh Vyas
Saurabh Vyas
Postdoctoral Fellow, Columbia University
Verified email at columbia.edu - Homepage
Title
Cited by
Cited by
Year
Computation through neural population dynamics
S Vyas, MD Golub, D Sussillo, KV Shenoy
Annual review of neuroscience 43, 249-275, 2020
4452020
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, 1-1, 2015
2762015
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
2532018
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
2222019
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
1182018
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
762016
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
54*2022
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
502020
Estimating physiological skin parameters from hyperspectral signatures
S Vyas, A Banerjee, P Burlina
Journal of biomedical optics 18 (5), 057008-057008, 2013
402013
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
272015
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
262019
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
18*2020
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
172023
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
132012
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
122013
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
112015
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
92022
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
92013
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
92012
Hyperspectral imaging for detection of skin related conditions
PM Burlina, A Banerjee, S Vyas, L Garza
US Patent 8,761,476, 2014
82014
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