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...

Podrobná bibliografie
Hlavní autoři:	Christopher M Kim, Carson C Chow
Médium:	Článek
Jazyk:	English
Vydáno:	eLife Sciences Publications Ltd 2018-09-01
Edice:	eLife
Témata:	spiking network recurrent dynamics learning universal dynamics
On-line přístup:	https://elifesciences.org/articles/37124

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