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David Sussillo

Showing results (21-30 of 30) with videos related to

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Nature Communications|January 21, 2017
Corrigendum: Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Eneuro|October 21, 2016
The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement TypeMatthew T Kaufman, Jeffrey S Seely, David Sussillo, et al.
Journal of Neural Engineering|March 20, 2012
A recurrent neural network for closed-loop intracortical brain-machine interface decodersDavid Sussillo, Paul Nuyujukian, Joline M Fan, et al.
Nature|November 28, 2024
Individual variability of neural computations underlying flexible decisionsMarino Pagan, Vincent D Tang, Mikio C Aoi, et al.
Biorxiv : the Preprint Server for Biology|November 19, 2025
Improved interpretability in LFADS models using a learned, context-dependent per-trial biasNishal P Shah, Benyamin Abramovich Krasa, Erin Kunz, et al.
Neural Computation|July 7, 2022
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object RecognitionAran Nayebi, Javier Sagastuy-Brena, Daniel M Bear, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activityChristopher Versteeg, Jonathan D McCart, Mitchell Ostrow, et al.
Cell|September 16, 2022
Cell-type-specific population dynamics of diverse reward computationsEmily L Sylwestrak, YoungJu Jo, Sam Vesuna, et al.
Nature Methods|September 19, 2018
Inferring single-trial neural population dynamics using sequential auto-encodersChethan Pandarinath, Daniel J O'Shea, Jasmine Collins, et al.
Nature Communications|March 23, 2023
Catalyzing next-generation Artificial Intelligence through NeuroAIAnthony Zador, Sean Escola, Blake Richards, et al.
Pageof 3

Showing results (21-30 of 30) with videos related to

Sort By:
Pageof 3
You have reached the last page of results.This site can display upto 30 results.
Nature Communications|January 21, 2017
Corrigendum: Making brain-machine interfaces robust to future neural variabilityDavid Sussillo, Sergey D Stavisky, Jonathan C Kao, et al.
Eneuro|October 21, 2016
The Largest Response Component in the Motor Cortex Reflects Movement Timing but Not Movement TypeMatthew T Kaufman, Jeffrey S Seely, David Sussillo, et al.
Journal of Neural Engineering|March 20, 2012
A recurrent neural network for closed-loop intracortical brain-machine interface decodersDavid Sussillo, Paul Nuyujukian, Joline M Fan, et al.
Nature|November 28, 2024
Individual variability of neural computations underlying flexible decisionsMarino Pagan, Vincent D Tang, Mikio C Aoi, et al.
Biorxiv : the Preprint Server for Biology|November 19, 2025
Improved interpretability in LFADS models using a learned, context-dependent per-trial biasNishal P Shah, Benyamin Abramovich Krasa, Erin Kunz, et al.
Neural Computation|July 7, 2022
Recurrent Connections in the Primate Ventral Visual Stream Mediate a Trade-Off Between Task Performance and Network Size During Core Object RecognitionAran Nayebi, Javier Sagastuy-Brena, Daniel M Bear, et al.
Biorxiv : the Preprint Server for Biology|February 20, 2025
Computation-through-Dynamics Benchmark: Simulated datasets and quality metrics for dynamical models of neural activityChristopher Versteeg, Jonathan D McCart, Mitchell Ostrow, et al.
Cell|September 16, 2022
Cell-type-specific population dynamics of diverse reward computationsEmily L Sylwestrak, YoungJu Jo, Sam Vesuna, et al.
Nature Methods|September 19, 2018
Inferring single-trial neural population dynamics using sequential auto-encodersChethan Pandarinath, Daniel J O'Shea, Jasmine Collins, et al.
Nature Communications|March 23, 2023
Catalyzing next-generation Artificial Intelligence through NeuroAIAnthony Zador, Sean Escola, Blake Richards, et al.
Pageof 3