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Deep learning as a tool for neural data analysis: Speech classification and cross-frequency coupling in human sensorimotor cortex
A fundamental challenge in neuroscience is to understand what structure in the world is represented in spatially distributed patterns of neural activity from multiple single-trial measurements. This is often accomplished by learning a simple, linear transformations between neural features and featur...
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| 出版年: | PLoS Comput Biol |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Public Library of Science
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6762206/ https://ncbi.nlm.nih.gov/pubmed/31525179 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1007091 |
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