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Matthew G Perich

Showing results (11-20 of 30) with videos related to

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Nature Communications|May 5, 2018
Population coding of conditional probability distributions in dorsal premotor cortexJoshua I Glaser, Matthew G Perich, Pavan Ramkumar, et al.
Nature Communications|May 14, 2024
De novo motor learning creates structure in neural activity that shapes adaptationJoanna C Chang, Matthew G Perich, Lee E Miller, et al.
Nature Neuroscience|January 8, 2020
Long-term stability of cortical population dynamics underlying consistent behaviorJuan A Gallego, Matthew G Perich, Raeed H Chowdhury, et al.
Elife|August 15, 2022
Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent mannerCecilia Gallego-Carracedo, Matthew G Perich, Raeed H Chowdhury, et al.
Nature Communications|September 2, 2022
Small, correlated changes in synaptic connectivity may facilitate rapid motor learningBarbara Feulner, Matthew G Perich, Raeed H Chowdhury, et al.
Nature Communications|October 14, 2018
Cortical population activity within a preserved neural manifold underlies multiple motor behaviorsJuan A Gallego, Matthew G Perich, Stephanie N Naufel, et al.
Arxiv|July 16, 2024
Expressivity of Neural Networks with Random Weights and Learned BiasesEzekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo, et al.
Arxiv|September 22, 2025
POCO: Scalable Neural Forecasting through Population ConditioningYu Duan, Hamza Tahir Chaudhry, Misha B Ahrens, et al.
Advances in Neural Information Processing Systems|May 11, 2026
POCO: Scalable Neural Forecasting through Population ConditioningYu Duan, Hamza Tahir Chaudhry, Misha B Ahrens, et al.
Eneuro|August 2, 2020
Machine Learning for Neural DecodingJoshua I Glaser, Ari S Benjamin, Raeed H Chowdhury, et al.
Pageof 3

Showing results (11-20 of 30) with videos related to

Sort By:
Pageof 3
Nature Communications|May 5, 2018
Population coding of conditional probability distributions in dorsal premotor cortexJoshua I Glaser, Matthew G Perich, Pavan Ramkumar, et al.
Nature Communications|May 14, 2024
De novo motor learning creates structure in neural activity that shapes adaptationJoanna C Chang, Matthew G Perich, Lee E Miller, et al.
Nature Neuroscience|January 8, 2020
Long-term stability of cortical population dynamics underlying consistent behaviorJuan A Gallego, Matthew G Perich, Raeed H Chowdhury, et al.
Elife|August 15, 2022
Local field potentials reflect cortical population dynamics in a region-specific and frequency-dependent mannerCecilia Gallego-Carracedo, Matthew G Perich, Raeed H Chowdhury, et al.
Nature Communications|September 2, 2022
Small, correlated changes in synaptic connectivity may facilitate rapid motor learningBarbara Feulner, Matthew G Perich, Raeed H Chowdhury, et al.
Nature Communications|October 14, 2018
Cortical population activity within a preserved neural manifold underlies multiple motor behaviorsJuan A Gallego, Matthew G Perich, Stephanie N Naufel, et al.
Arxiv|July 16, 2024
Expressivity of Neural Networks with Random Weights and Learned BiasesEzekiel Williams, Alexandre Payeur, Avery Hee-Woon Ryoo, et al.
Arxiv|September 22, 2025
POCO: Scalable Neural Forecasting through Population ConditioningYu Duan, Hamza Tahir Chaudhry, Misha B Ahrens, et al.
Advances in Neural Information Processing Systems|May 11, 2026
POCO: Scalable Neural Forecasting through Population ConditioningYu Duan, Hamza Tahir Chaudhry, Misha B Ahrens, et al.
Eneuro|August 2, 2020
Machine Learning for Neural DecodingJoshua I Glaser, Ari S Benjamin, Raeed H Chowdhury, et al.
Pageof 3