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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Dettagli Bibliografici
Autori principali:	Christopher M Kim, Carson C Chow
Natura:	Articolo
Lingua:	English
Pubblicazione:	eLife Sciences Publications Ltd 2018-09-01
Serie:	eLife
Soggetti:	spiking network recurrent dynamics learning universal dynamics
Accesso online:	https://elifesciences.org/articles/37124

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