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...

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Bibliografiska uppgifter
Huvudupphovsmän:	Christopher M Kim, Carson C Chow
Materialtyp:	Artikel
Språk:	English
Publicerad:	eLife Sciences Publications Ltd 2018-09-01
Serie:	eLife
Ämnen:	spiking network recurrent dynamics learning universal dynamics
Länkar:	https://elifesciences.org/articles/37124

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