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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Dades bibliogràfiques
Autors principals:	Christopher M Kim, Carson C Chow
Format:	Article
Idioma:	English
Publicat:	eLife Sciences Publications Ltd 2018-09-01
Col·lecció:	eLife
Matèries:	spiking network recurrent dynamics learning universal dynamics
Accés en línia:	https://elifesciences.org/articles/37124

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