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Vishwa Goudar

Showing results (1-10 of 8) with videos related to

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Journal of Neurophysiology|October 24, 2014
A model of order-selectivity based on dynamic changes in the balance of excitation and inhibition produced by short-term synaptic plasticityVishwa Goudar, Dean V Buonomano
Elife|March 15, 2018
Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networksVishwa Goudar, Dean V Buonomano
Biorxiv : the Preprint Server for Biology|October 24, 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependenciesWayne W M Soo, Vishwa Goudar, Xiao-Jing Wang
Nature Communications|November 11, 2018
A model of temporal scaling correctly predicts that motor timing improves with speedNicholas F Hardy, Vishwa Goudar, Juan L Romero-Sosa, et al.
Nature Neuroscience|April 6, 2023
Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solvingVishwa Goudar, Barbara Peysakhovich, David J Freedman, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 27, 2017
Differential Encoding of Time by Prefrontal and Striatal Network DynamicsKonstantin I Bakhurin, Vishwa Goudar, Justin L Shobe, et al.
Biorxiv : the Preprint Server for Biology|January 30, 2023
Comparing rapid rule-learning strategies in humans and monkeysVishwa Goudar, Jeong-Woo Kim, Yue Liu, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 13, 2024
A Comparison of Rapid Rule-Learning Strategies in Humans and MonkeysVishwa Goudar, Jeong-Woo Kim, Yue Liu, et al.
Pageof 1

Showing results (1-10 of 8) with videos related to

Sort By:
Pageof 1
Journal of Neurophysiology|October 24, 2014
A model of order-selectivity based on dynamic changes in the balance of excitation and inhibition produced by short-term synaptic plasticityVishwa Goudar, Dean V Buonomano
Elife|March 15, 2018
Encoding sensory and motor patterns as time-invariant trajectories in recurrent neural networksVishwa Goudar, Dean V Buonomano
Biorxiv : the Preprint Server for Biology|October 24, 2023
Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependenciesWayne W M Soo, Vishwa Goudar, Xiao-Jing Wang
Nature Communications|November 11, 2018
A model of temporal scaling correctly predicts that motor timing improves with speedNicholas F Hardy, Vishwa Goudar, Juan L Romero-Sosa, et al.
Nature Neuroscience|April 6, 2023
Schema formation in a neural population subspace underlies learning-to-learn in flexible sensorimotor problem-solvingVishwa Goudar, Barbara Peysakhovich, David J Freedman, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|January 27, 2017
Differential Encoding of Time by Prefrontal and Striatal Network DynamicsKonstantin I Bakhurin, Vishwa Goudar, Justin L Shobe, et al.
Biorxiv : the Preprint Server for Biology|January 30, 2023
Comparing rapid rule-learning strategies in humans and monkeysVishwa Goudar, Jeong-Woo Kim, Yue Liu, et al.
The Journal of Neuroscience : the Official Journal of the Society for Neuroscience|June 13, 2024
A Comparison of Rapid Rule-Learning Strategies in Humans and MonkeysVishwa Goudar, Jeong-Woo Kim, Yue Liu, et al.
Pageof 1