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Gaussian-Process Factor Analysis for Low-Dimensional Single-Trial Analysis of Neural Population Activity
We consider the problem of extracting smooth, low-dimensional neural trajectories that summarize the activity recorded simultaneously from many neurons on individual experimental trials. Beyond the benefit of visualizing the high-dimensional, noisy spiking activity in a compact form, such trajectori...
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| 主要な著者: | , , , , , |
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| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
American Physiological Society
2009
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2712272/ https://ncbi.nlm.nih.gov/pubmed/19357332 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1152/jn.90941.2008 |
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