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...
| 主要な著者: | , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
eLife Sciences Publications Ltd
2018-09-01
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| シリーズ: | eLife |
| 主題: | |
| オンライン･アクセス: | https://elifesciences.org/articles/37124 |