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L F Abbott

Showing results (121-130 of 168) with videos related to

Pageof 17
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Elife|March 30, 2018
A transformation from temporal to ensemble coding in a model of piriform cortexMerav Stern, Kevin A Bolding, L F Abbott, et al.
Science (New York, N.Y.)|January 10, 1997
Synaptic depression and cortical gain controlL F Abbott, J A Varela, K Sen, et al.
Plos Computational Biology|December 5, 2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networksRainer Engelken, Alessandro Ingrosso, Ramin Khajeh, et al.
Current Biology : CB|April 24, 2025
An end-to-end model of active electrosensationDenis Turcu, Abigail N Zadina, L F Abbott, et al.
Trends in Neurosciences|October 1, 1993
The dynamic clamp: artificial conductances in biological neuronsA A Sharp, M B O'Neil, L F Abbott, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 26, 1996
Memory from the dynamics of intrinsic membrane currentsE Marder, L F Abbott, G G Turrigiano, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 5, 2024
A mathematical theory of relational generalization in transitive inferenceSamuel Lippl, Kenneth Kay, Greg Jensen, et al.
Biorxiv : the Preprint Server for Biology|September 4, 2023
A mathematical theory of relational generalization in transitive inferenceSamuel Lippl, Kenneth Kay, Greg Jensen, et al.
Nature|February 7, 2024
Converting an allocentric goal into an egocentric steering signalPeter Mussells Pires, Lingwei Zhang, Victoria Parache, et al.
Cell|November 19, 2019
Continual Learning in a Multi-Layer Network of an Electric FishSalomon Z Muller, Abigail N Zadina, L F Abbott, et al.
Pageof 17

Showing results (121-130 of 168) with videos related to

Sort By:
Pageof 17
Elife|March 30, 2018
A transformation from temporal to ensemble coding in a model of piriform cortexMerav Stern, Kevin A Bolding, L F Abbott, et al.
Science (New York, N.Y.)|January 10, 1997
Synaptic depression and cortical gain controlL F Abbott, J A Varela, K Sen, et al.
Plos Computational Biology|December 5, 2022
Input correlations impede suppression of chaos and learning in balanced firing-rate networksRainer Engelken, Alessandro Ingrosso, Ramin Khajeh, et al.
Current Biology : CB|April 24, 2025
An end-to-end model of active electrosensationDenis Turcu, Abigail N Zadina, L F Abbott, et al.
Trends in Neurosciences|October 1, 1993
The dynamic clamp: artificial conductances in biological neuronsA A Sharp, M B O'Neil, L F Abbott, et al.
Proceedings of the National Academy of Sciences of the United States of America|November 26, 1996
Memory from the dynamics of intrinsic membrane currentsE Marder, L F Abbott, G G Turrigiano, et al.
Proceedings of the National Academy of Sciences of the United States of America|July 5, 2024
A mathematical theory of relational generalization in transitive inferenceSamuel Lippl, Kenneth Kay, Greg Jensen, et al.
Biorxiv : the Preprint Server for Biology|September 4, 2023
A mathematical theory of relational generalization in transitive inferenceSamuel Lippl, Kenneth Kay, Greg Jensen, et al.
Nature|February 7, 2024
Converting an allocentric goal into an egocentric steering signalPeter Mussells Pires, Lingwei Zhang, Victoria Parache, et al.
Cell|November 19, 2019
Continual Learning in a Multi-Layer Network of an Electric FishSalomon Z Muller, Abigail N Zadina, L F Abbott, et al.
Pageof 17