Learning recurrent dynamics in spiking networks

Learning recurrent dynamics in spiking networks

Spiking activity of neurons engaged in learning and performing a task show complex spatiotemporal dynamics. While the output of recurrent network models can learn to perform various tasks, the possible range of recurrent dynamics that emerge after learning remains unknown. Here we show that modifyin...

Полное описание

Библиографические подробности
Главные авторы:	Christopher M Kim, Carson C Chow
Формат:	Статья
Язык:	English
Опубликовано:	eLife Sciences Publications Ltd 2018-09-01
Серии:	eLife
Предметы:	spiking network recurrent dynamics learning universal dynamics
Online-ссылка:	https://elifesciences.org/articles/37124

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