Time-varying generalized linear models: characterizing and decoding neuronal dynamics in higher visual areas
To create a behaviorally relevant representation of the visual world, neurons in higher visual areas exhibit dynamic response changes to account for the time-varying interactions between external (e.g., visual input) and internal (e.g., reward value) factors. The resulting high-dimensional represent...
| 主要な著者: | , , , , |
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| フォーマット: | 論文 |
| 言語: | English |
| 出版事項: |
Frontiers Media S.A.
2024-01-01
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| シリーズ: | Frontiers in Computational Neuroscience |
| 主題: | |
| オンライン･アクセス: | https://www.frontiersin.org/articles/10.3389/fncom.2024.1273053/full |