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1.

The science and engineering behind sensitized brain-controlled bionic hands.

Pandarinath, Chethan; Bensmaia, Sliman J.

Physiol Rev; 102(2): 551-604, 2022 04 01.

Artículo en Inglés | MEDLINE | ID: mdl-34541898

2.

Identifying Distinct Neural Features between the Initial and Corrective Phases of Precise Reaching Using AutoLFADS.

Lee, Wei-Hsien; Karpowicz, Brianna M; Pandarinath, Chethan; Rouse, Adam G.

J Neurosci; 44(20)2024 May 15.

Artículo en Inglés | MEDLINE | ID: mdl-38538142

3.

A large-scale neural network training framework for generalized estimation of single-trial population dynamics.

Keshtkaran, Mohammad Reza; Sedler, Andrew R; Chowdhury, Raeed H; Tandon, Raghav; Basrai, Diya; Nguyen, Sarah L; Sohn, Hansem; Jazayeri, Mehrdad; Miller, Lee E; Pandarinath, Chethan.

Nat Methods; 19(12): 1572-1577, 2022 12.

Artículo en Inglés | MEDLINE | ID: mdl-36443486

4.

Inferring single-trial neural population dynamics using sequential auto-encoders.

Pandarinath, Chethan; O'Shea, Daniel J; Collins, Jasmine; Jozefowicz, Rafal; Stavisky, Sergey D; Kao, Jonathan C; Trautmann, Eric M; Kaufman, Matthew T; Ryu, Stephen I; Hochberg, Leigh R; Henderson, Jaimie M; Shenoy, Krishna V; Abbott, L F; Sussillo, David.

Nat Methods; 15(10): 805-815, 2018 10.

Artículo en Inglés | MEDLINE | ID: mdl-30224673

5.

Brain implants that let you speak your mind.

Pandarinath, Chethan; Ali, Yahia H.

Nature; 568(7753): 466-467, 2019 04.

Artículo en Inglés | MEDLINE | ID: mdl-31019323

6.

Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.

Pandarinath, Chethan; Ames, K Cora; Russo, Abigail A; Farshchian, Ali; Miller, Lee E; Dyer, Eva L; Kao, Jonathan C.

J Neurosci; 38(44): 9390-9401, 2018 10 31.

Artículo en Inglés | MEDLINE | ID: mdl-30381431

7.

Volitional control of single-electrode high gamma local field potentials by people with paralysis.

Milekovic, Tomislav; Bacher, Daniel; Sarma, Anish A; Simeral, John D; Saab, Jad; Pandarinath, Chethan; Yvert, Blaise; Sorice, Brittany L; Blabe, Christine; Oakley, Erin M; Tringale, Kathryn R; Eskandar, Emad; Cash, Sydney S; Shenoy, Krishna V; Henderson, Jaimie M; Hochberg, Leigh R; Donoghue, John P.

J Neurophysiol; 121(4): 1428-1450, 2019 04 01.

Artículo en Inglés | MEDLINE | ID: mdl-30785814

8.

Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.

Milekovic, Tomislav; Sarma, Anish A; Bacher, Daniel; Simeral, John D; Saab, Jad; Pandarinath, Chethan; Sorice, Brittany L; Blabe, Christine; Oakley, Erin M; Tringale, Kathryn R; Eskandar, Emad; Cash, Sydney S; Henderson, Jaimie M; Shenoy, Krishna V; Donoghue, John P; Hochberg, Leigh R.

J Neurophysiol; 120(1): 343-360, 2018 07 01.

Artículo en Inglés | MEDLINE | ID: mdl-29694279

9.

Recruitment of PfSET2 by RNA polymerase II to variant antigen encoding loci contributes to antigenic variation in P. falciparum.

Ukaegbu, Uchechi E; Kishore, Sandeep P; Kwiatkowski, Dacia L; Pandarinath, Chethan; Dahan-Pasternak, Noa; Dzikowski, Ron; Deitsch, Kirk W.

PLoS Pathog; 10(1): e1003854, 2014 Jan.

Artículo en Inglés | MEDLINE | ID: mdl-24391504

10.

Retinal prosthetic strategy with the capacity to restore normal vision.

Nirenberg, Sheila; Pandarinath, Chethan.

Proc Natl Acad Sci U S A; 109(37): 15012-7, 2012 Sep 11.

Artículo en Inglés | MEDLINE | ID: mdl-22891310

11.

Identifying distinct neural features between the initial and corrective phases of precise reaching using AutoLFADS.

Lee, Wei-Hsien; Karpowicz, Brianna M; Pandarinath, Chethan; Rouse, Adam G.

bioRxiv; 2024 Feb 04.

Artículo en Inglés | MEDLINE | ID: mdl-38352314

12.

BRAND: a platform for closed-loop experiments with deep network models.

Ali, Yahia H; Bodkin, Kevin; Rigotti-Thompson, Mattia; Patel, Kushant; Card, Nicholas S; Bhaduri, Bareesh; Nason-Tomaszewski, Samuel R; Mifsud, Domenick M; Hou, Xianda; Nicolas, Claire; Allcroft, Shane; Hochberg, Leigh R; Au Yong, Nicholas; Stavisky, Sergey D; Miller, Lee E; Brandman, David M; Pandarinath, Chethan.

J Neural Eng; 21(2)2024 Apr 17.

Artículo en Inglés | MEDLINE | ID: mdl-38579696

13.

Expressive architectures enhance interpretability of dynamics-based neural population models.

Sedler, Andrew R; Versteeg, Christopher; Pandarinath, Chethan.

Neuron Behav Data Anal Theory; 20232023.

Artículo en Inglés | MEDLINE | ID: mdl-38699512

14.

Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.

Versteeg, Christopher; Sedler, Andrew R; McCart, Jonathan D; Pandarinath, Chethan.

ArXiv; 2023 Sep 12.

Artículo en Inglés | MEDLINE | ID: mdl-37744459

15.

Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex.

Shah, Nishal P; Avansino, Donald; Kamdar, Foram; Nicolas, Claire; Kapitonava, Anastasia; Vargas-Irwin, Carlos; Hochberg, Leigh; Pandarinath, Chethan; Shenoy, Krishna; Willett, Francis R; Henderson, Jaimie.

bioRxiv; 2023 Oct 12.

Artículo en Inglés | MEDLINE | ID: mdl-37873182

16.

BRAND: A platform for closed-loop experiments with deep network models.

Ali, Yahia H; Bodkin, Kevin; Rigotti-Thompson, Mattia; Patel, Kushant; Card, Nicholas S; Bhaduri, Bareesh; Nason-Tomaszewski, Samuel R; Mifsud, Domenick M; Hou, Xianda; Nicolas, Claire; Allcroft, Shane; Hochberg, Leigh R; Yong, Nicholas Au; Stavisky, Sergey D; Miller, Lee E; Brandman, David M; Pandarinath, Chethan.

bioRxiv; 2023 Aug 12.

Artículo en Inglés | MEDLINE | ID: mdl-37609167

17.

Myomatrix arrays for high-definition muscle recording.

Chung, Bryce; Zia, Muneeb; Thomas, Kyle A; Michaels, Jonathan A; Jacob, Amanda; Pack, Andrea; Williams, Matthew J; Nagapudi, Kailash; Teng, Lay Heng; Arrambide, Eduardo; Ouellette, Logan; Oey, Nicole; Gibbs, Rhuna; Anschutz, Philip; Lu, Jiaao; Wu, Yu; Kashefi, Mehrdad; Oya, Tomomichi; Kersten, Rhonda; Mosberger, Alice C; O'Connell, Sean; Wang, Runming; Marques, Hugo; Mendes, Ana Rita; Lenschow, Constanze; Kondakath, Gayathri; Kim, Jeong Jun; Olson, William; Quinn, Kiara N; Perkins, Pierce; Gatto, Graziana; Thanawalla, Ayesha; Coltman, Susan; Kim, Taegyo; Smith, Trevor; Binder-Markey, Ben; Zaback, Martin; Thompson, Christopher K; Giszter, Simon; Person, Abigail; Goulding, Martyn; Azim, Eiman; Thakor, Nitish; O'Connor, Daniel; Trimmer, Barry; Lima, Susana Q; Carey, Megan R; Pandarinath, Chethan; Costa, Rui M; Pruszynski, J Andrew.

bioRxiv; 2023 Sep 19.

Artículo en Inglés | MEDLINE | ID: mdl-36865176

18.

Myomatrix arrays for high-definition muscle recording.

Chung, Bryce; Zia, Muneeb; Thomas, Kyle A; Michaels, Jonathan A; Jacob, Amanda; Pack, Andrea; Williams, Matthew J; Nagapudi, Kailash; Teng, Lay Heng; Arrambide, Eduardo; Ouellette, Logan; Oey, Nicole; Gibbs, Rhuna; Anschutz, Philip; Lu, Jiaao; Wu, Yu; Kashefi, Mehrdad; Oya, Tomomichi; Kersten, Rhonda; Mosberger, Alice C; O'Connell, Sean; Wang, Runming; Marques, Hugo; Mendes, Ana Rita; Lenschow, Constanze; Kondakath, Gayathri; Kim, Jeong Jun; Olson, William; Quinn, Kiara N; Perkins, Pierce; Gatto, Graziana; Thanawalla, Ayesha; Coltman, Susan; Kim, Taegyo; Smith, Trevor; Binder-Markey, Ben; Zaback, Martin; Thompson, Christopher K; Giszter, Simon; Person, Abigail; Goulding, Martyn; Azim, Eiman; Thakor, Nitish; O'Connor, Daniel; Trimmer, Barry; Lima, Susana Q; Carey, Megan R; Pandarinath, Chethan; Costa, Rui M; Pruszynski, J Andrew.

Elife; 122023 Dec 19.

Artículo en Inglés | MEDLINE | ID: mdl-38113081

19.

A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution.

Zhu, Feng; Grier, Harrison A; Tandon, Raghav; Cai, Changjia; Agarwal, Anjali; Giovannucci, Andrea; Kaufman, Matthew T; Pandarinath, Chethan.

Nat Neurosci; 25(12): 1724-1734, 2022 12.

Artículo en Inglés | MEDLINE | ID: mdl-36424431

20.

Estimating muscle activation from EMG using deep learning-based dynamical systems models.

Wimalasena, Lahiru N; Braun, Jonas F; Keshtkaran, Mohammad Reza; Hofmann, David; Gallego, Juan Álvaro; Alessandro, Cristiano; Tresch, Matthew C; Miller, Lee E; Pandarinath, Chethan.

J Neural Eng; 19(3)2022 05 19.

Artículo en Inglés | MEDLINE | ID: mdl-35366649

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The science and engineering behind sensitized brain-controlled bionic hands.

Identifying Distinct Neural Features between the Initial and Corrective Phases of Precise Reaching Using AutoLFADS.

A large-scale neural network training framework for generalized estimation of single-trial population dynamics.

Inferring single-trial neural population dynamics using sequential auto-encoders.

Brain implants that let you speak your mind.

Latent Factors and Dynamics in Motor Cortex and Their Application to Brain-Machine Interfaces.

Volitional control of single-electrode high gamma local field potentials by people with paralysis.

Stable long-term BCI-enabled communication in ALS and locked-in syndrome using LFP signals.

Recruitment of PfSET2 by RNA polymerase II to variant antigen encoding loci contributes to antigenic variation in P. falciparum.

Retinal prosthetic strategy with the capacity to restore normal vision.

Identifying distinct neural features between the initial and corrective phases of precise reaching using AutoLFADS.

BRAND: a platform for closed-loop experiments with deep network models.

Expressive architectures enhance interpretability of dynamics-based neural population models.

Expressive dynamics models with nonlinear injective readouts enable reliable recovery of latent features from neural activity.

Pseudo-linear Summation explains Neural Geometry of Multi-finger Movements in Human Premotor Cortex.

BRAND: A platform for closed-loop experiments with deep network models.

Myomatrix arrays for high-definition muscle recording.

Myomatrix arrays for high-definition muscle recording.

A deep learning framework for inference of single-trial neural population dynamics from calcium imaging with subframe temporal resolution.

Estimating muscle activation from EMG using deep learning-based dynamical systems models.