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Mario Dipoppa

Showing results (1-10 of 23) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|July 17, 2013
Flexible frequency control of cortical oscillations enables computations required for working memoryMario Dipoppa, Boris S Gutkin
Frontiers in Computational Neuroscience|October 25, 2013
Correlations in background activity control persistent state stability and allow execution of working memory tasksMario Dipoppa, Boris S Gutkin
Advances in Cognitive Psychology|February 4, 2017
Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and SynchronyMario Dipoppa, Marcin Szwed, Boris S Gutkin
Nature Communications|December 15, 2023
A power law describes the magnitude of adaptation in neural populations of primary visual cortexElaine Tring, Mario Dipoppa, Dario L Ringach
Biorxiv : the Preprint Server for Biology|October 24, 2023
On the contrast response function of adapted neural populationsElaine Tring, Mario Dipoppa, Dario L Ringach
Journal of Neurophysiology|January 24, 2024
On the contrast response function of adapted neural populationsElaine Tring, Mario Dipoppa, Dario L Ringach
Biorxiv : the Preprint Server for Biology|June 9, 2023
A power law of cortical adaptationElaine Tring, Mario Dipoppa, Dario L Ringach
Biorxiv : the Preprint Server for Biology|April 8, 2025
A universal power law optimizes energy and representation fidelity in visual adaptationMatteo Mariani, Amin S Moosavi, Dario Ringach, et al.
Journal of Neurophysiology|September 18, 2024
Contrast gain control is a reparameterization of a population response curveElaine Tring, S Amin Moosavi, Mario Dipoppa, et al.
Biorxiv : the Preprint Server for Biology|August 12, 2024
Contrast gain control is a reparameterization of a population response curveElaine Tring, S Amin Moosavi, Mario Dipoppa, et al.
Pageof 3

Showing results (1-10 of 23) with videos related to

Sort By:
Pageof 3
Proceedings of the National Academy of Sciences of the United States of America|July 17, 2013
Flexible frequency control of cortical oscillations enables computations required for working memoryMario Dipoppa, Boris S Gutkin
Frontiers in Computational Neuroscience|October 25, 2013
Correlations in background activity control persistent state stability and allow execution of working memory tasksMario Dipoppa, Boris S Gutkin
Advances in Cognitive Psychology|February 4, 2017
Controlling Working Memory Operations by Selective Gating: The Roles of Oscillations and SynchronyMario Dipoppa, Marcin Szwed, Boris S Gutkin
Nature Communications|December 15, 2023
A power law describes the magnitude of adaptation in neural populations of primary visual cortexElaine Tring, Mario Dipoppa, Dario L Ringach
Biorxiv : the Preprint Server for Biology|October 24, 2023
On the contrast response function of adapted neural populationsElaine Tring, Mario Dipoppa, Dario L Ringach
Journal of Neurophysiology|January 24, 2024
On the contrast response function of adapted neural populationsElaine Tring, Mario Dipoppa, Dario L Ringach
Biorxiv : the Preprint Server for Biology|June 9, 2023
A power law of cortical adaptationElaine Tring, Mario Dipoppa, Dario L Ringach
Biorxiv : the Preprint Server for Biology|April 8, 2025
A universal power law optimizes energy and representation fidelity in visual adaptationMatteo Mariani, Amin S Moosavi, Dario Ringach, et al.
Journal of Neurophysiology|September 18, 2024
Contrast gain control is a reparameterization of a population response curveElaine Tring, S Amin Moosavi, Mario Dipoppa, et al.
Biorxiv : the Preprint Server for Biology|August 12, 2024
Contrast gain control is a reparameterization of a population response curveElaine Tring, S Amin Moosavi, Mario Dipoppa, et al.
Pageof 3