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Inferring synaptic inputs from spikes with a conductance-based neural encoding model
Descriptive statistical models of neural responses generally aim to characterize the mapping from stimuli to spike responses while ignoring biophysical details of the encoding process. Here, we introduce an alternative approach, the conductance-based encoding model (CBEM), which describes a mapping...
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| 出版年: | eLife |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
eLife Sciences Publications, Ltd
2019
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6989090/ https://ncbi.nlm.nih.gov/pubmed/31850846 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.7554/eLife.47012 |
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