A Moment-Based Maximum Entropy Model for Fitting Higher-Order Interactions in Neural Data
Correlations in neural activity have been demonstrated to have profound consequences for sensory encoding. To understand how neural populations represent stimulus information, it is therefore necessary to model how pairwise and higher-order spiking correlations between neurons contribute to the coll...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
MDPI AG
2018-06-01
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| Collection: | Entropy |
| Sujets: | |
| Accès en ligne: | http://www.mdpi.com/1099-4300/20/7/489 |
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