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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Bibliografische gegevens
Hoofdauteurs:	Christopher M Kim, Carson C Chow
Formaat:	Artikel
Taal:	English
Gepubliceerd in:	eLife Sciences Publications Ltd 2018-09-01
Reeks:	eLife
Onderwerpen:	spiking network recurrent dynamics learning universal dynamics
Online toegang:	https://elifesciences.org/articles/37124

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