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...

書誌詳細
主要な著者:	Christopher M Kim, Carson C Chow
フォーマット:	論文
言語:	English
出版事項:	eLife Sciences Publications Ltd 2018-09-01
シリーズ:	eLife
主題:	spiking network recurrent dynamics learning universal dynamics
オンライン･アクセス:	https://elifesciences.org/articles/37124

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