Chethan Pandarinath

Scopus Author ID Scopus Author ID Loop profile ORCID

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 25

Top Venues

bioRxiv : the preprint server for biology

Journal of neural engineering

eLife

Nature methods

Emory University

Cornell University (PHD)

This page only lists publications with an associated author ORCID identifier.

Affiliation History

Emory University Dec 01 2016

United States

Assistant Professor :: Biomedical Engineering

Georgia Institute of Technology Dec 01 2016

United States

Assistant Professor :: Biomedical Engineering

Education History

Cornell University - Dec 01 2010

United States

PHD :: Electrical Engineering

Publications

Yahia Hassan Ali, Kevin Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: a platform for closed-loop experiments with deep network models. Journal of neural engineering 21 (2) (2024)
Yahia Hassan Ali, Kevin Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: a platform for closed-loop experiments with deep network models. Journal of neural engineering 21 (2) (2024)
Yahia Hassan Ali, Kevin L Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: A platform for closed-loop experiments with deep network models. Journal of neural engineering (2024)
Yahia Hassan Ali, Kevin Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: a platform for closed-loop experiments with deep network models. Journal of neural engineering 21 (2) (2024)
Yahia Hassan Ali, Kevin Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: a platform for closed-loop experiments with deep network models. Journal of neural engineering 21 (2) (2024)
Wei-Hsien Lee, Brianna M Karpowicz, Chethan Pandarinath, Adam G Rouse
Identifying distinct neural features between the initial and corrective phases of precise reaching using AutoLFADS. bioRxiv : the preprint server for biology (2024)
Wei-Hsien Lee, Brianna M Karpowicz, Chethan Pandarinath, Adam G Rouse
Identifying distinct neural features between the initial and corrective phases of precise reaching using AutoLFADS. bioRxiv : the preprint server for biology (2024)
Yahia Hassan Ali, Kevin Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: a platform for closed-loop experiments with deep network models. Journal of neural engineering 21 (2) (2024)
Lahiru N Wimalasena, Chethan Pandarinath, Nicholas Au Yong
Spinal interneuron population dynamics underlying flexible pattern generation. bioRxiv : the preprint server for biology (2024)
Yahia Hassan Ali, Kevin L Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: A platform for closed-loop experiments with deep network models. Journal of neural engineering (2024)
Lahiru N Wimalasena, Chethan Pandarinath, Nicholas Au Yong
Spinal interneuron population dynamics underlying flexible pattern generation. bioRxiv : the preprint server for biology (2024)
Wei-Hsien Lee, Brianna M Karpowicz, Chethan Pandarinath, Adam G Rouse
Identifying distinct neural features between the initial and corrective phases of precise reaching using AutoLFADS. bioRxiv : the preprint server for biology (2024)
Bryce Chung, Muneeb Zia, Kyle Thomas, Jonathan A Michaels, Amanda Jacob, Andrea Pack, Matt Williams, Kailash Nagapudi, Lay Heng Teng, Eduardo Arrambide, Logan Ouellette, Nicole Oey, Rhuna Gibbs, Philip Anschutz, Jiaao Lu, Yu Wu, Mehrdad Kashefi, Tomomichi Oya, Rhonda Kersten, Alice C Mosberger, Sean O'Connell, Runming Wang, Hugo G Marques, Ana Rita Mendes, Constanze Lenschow, Gayathri Kondakath, Jeong Jun Kim, William P Olson, Kiara N Quinn, Pierce Perkins, Graziana Gatto, Ayesha Thanawalla, Susan K Coltman, Taegyo Kim, Trevor Smith, Benjamin I Binder-Markey, Martin Zaback, Christopher K Thompson, Simon F Giszter, Abigail L Person, Martyn D Goulding, Eiman Azim, Nitish V Thakor, Daniel H O'Connor, Barry Andrew Trimmer, Susana Q Lima, Megan R Carey, Chethan Pandarinath, Rui M Costa, J Andrew Pruszynski, Muhannad Bakir, Samuel J Sober
Myomatrix arrays for high-definition muscle recording. bioRxiv : the preprint server for biology (2023)
Bryce Chung, Muneeb Zia, Kyle Thomas, Jonathan A Michaels, Amanda Jacob, Andrea Pack, Matt Williams, Kailash Nagapudi, Lay Heng Teng, Eduardo Arrambide, Logan Ouellette, Nicole Oey, Rhuna Gibbs, Philip Anschutz, Jiaao Lu, Yu Wu, Mehrdad Kashefi, Tomomichi Oya, Rhonda Kersten, Alice C Mosberger, Sean O'Connell, Runming Wang, Hugo G Marques, Ana Rita Mendes, Constanze Lenschow, Gayathri Kondakath, Jeong Jun Kim, William P Olson, Kiara N Quinn, Pierce Perkins, Graziana Gatto, Ayesha Thanawalla, Susan K Coltman, Taegyo Kim, Trevor Smith, Benjamin I Binder-Markey, Martin Zaback, Christopher K Thompson, Simon F Giszter, Abigail L Person, Martyn D Goulding, Eiman Azim, Nitish V Thakor, Daniel H O'Connor, Barry Andrew Trimmer, Susana Q Lima, Megan R Carey, Chethan Pandarinath, Rui M Costa, J Andrew Pruszynski, Muhannad Bakir, Samuel J Sober
Myomatrix arrays for high-definition muscle recording. bioRxiv : the preprint server for biology (2023)
Yahia Hassan Ali, Kevin Bodkin, Mattia Rigotti-Thompson, Kushant Patel, Nicholas S Card, Bareesh Bhaduri, Samuel R Nason, Domenick M Mifsud, Xianda Hou, Claire Nicolas, Shane Allcroft, Leigh R Hochberg, Nicholas Au Yong, Sergey D Stavisky, Lee E Miller, David M Brandman, Chethan Pandarinath
BRAND: A platform for closed-loop experiments with deep network models. bioRxiv : the preprint server for biology (2023)
Lahiru N Wimalasena, Jonas F Braun, Mohammad Reza Keshtkaran, David Hofmann, Juan Alvaro Gallego, Cristiano Alessandro, Matthew C Tresch, Lee E Miller, Chethan Pandarinath
Estimating muscle activation from EMG using deep learning-based dynamical systems models. Journal of neural engineering 19 (3) (2022)
Mohammad Reza Keshtkaran, Andrew R Sedler, Raeed H Chowdhury, Raghav Tandon, Diya Basrai, Sarah L Nguyen, Hansem Sohn, Mehrdad Jazayeri, Lee E Miller, Chethan Pandarinath
A large-scale neural network training framework for generalized estimation of single-trial population dynamics. Nature methods 19 (12) (2022)
Feng Zhu, Harrison A Grier, Raghav Tandon, Changjia Cai, Anjali Agarwal, Andrea Giovannucci, Matthew T Kaufman, Chethan Pandarinath
A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution. Nature neuroscience 25 (12) (2022)
Lahiru N Wimalasena, Lee E Miller, Chethan Pandarinath
From unstable input to robust output. Nature biomedical engineering 4 (7) (2020)
Chethan Pandarinath, Katherine Cora Ames, Abigail A Russo, Ali Farshchian, Lee E Miller, Eva L Dyer, Jonathan C Kao
Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces. The Journal of neuroscience : the official journal of the Society for Neuroscience 38 (44) (2019)
Chethan Pandarinath, Daniel J O'Shea, Jasmine Collins, Rafal Jozefowicz, Sergey D Stavisky, Jonathan C Kao, Eric M Trautmann, Matthew T Kaufman, Stephen I Ryu, Leigh R Hochberg, Jaimie M Henderson, Krishna V Shenoy, L F Abbott, David Sussillo
Inferring single-trial neural population dynamics using sequential auto-encoders. Nature methods 15 (10) (2018)
Tomislav Milekovic, Anish A Sarma, Daniel Bacher, John D Simeral, Jad Saab, Chethan Pandarinath, Brittany L Sorice, Christine Blabe, Erin M Oakley, Kathryn R Tringale, Emad Eskandar, Sydney S Cash, Jaimie M Henderson, Krishna V Shenoy, John P Donoghue, Leigh R Hochberg
Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals. Journal of neurophysiology 120 (1) (2018)
Chethan Pandarinath, Paul Nuyujukian, Christine H Blabe, Brittany L Sorice, Jad Saab, Francis R Willett, Leigh R Hochberg, Krishna V Shenoy, Jaimie M Henderson
High performance communication by people with paralysis using an intracortical brain-computer interface. eLife 6 (2017)
Chethan Pandarinath, Vikash Gilja, Christine H Blabe, Paul Nuyujukian, Anish A Sarma, Brittany L Sorice, Emad N Eskandar, Leigh R Hochberg, Jaimie M Henderson, Krishna V Shenoy
Neural population dynamics in human motor cortex during movements in people with ALS. eLife 4 (2015)
Vikash Gilja, Chethan Pandarinath, Christine H Blabe, Paul Nuyujukian, John D Simeral, Anish A Sarma, Brittany L Sorice, János A Perge, Beata Jarosiewicz, Leigh R Hochberg, Krishna V Shenoy, Jaimie M Henderson
Clinical translation of a high-performance neural prosthesis. Nature medicine 21 (10) (2015)

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Publication Activity (10 Years)

Top Topics

Top Venues

Chethan Pandarinath