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Characterizing the nonlinear structure of shared variability in cortical neuron populations using latent variable models
Sensory neurons often have variable responses to repeated presentations of the same stimulus, which can significantly degrade the stimulus information contained in those responses. This information can in principle be preserved if variability is shared across many neurons, but depends on the structu...
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| Опубликовано в: : | Neuron Behav Data Anal Theory |
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| Главные авторы: | , , , |
| Формат: | Artigo |
| Язык: | Inglês |
| Опубликовано: |
2019
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| Предметы: | |
| Online-ссылка: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6779168/ https://ncbi.nlm.nih.gov/pubmed/31592129 |
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