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Functional identification of biological neural networks using reservoir adaptation for point processes
The complexity of biological neural networks does not allow to directly relate their biophysical properties to the dynamics of their electrical activity. We present a reservoir computing approach for functionally identifying a biological neural network, i.e. for building an artificial system that is...
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| Auteurs principaux: | , , |
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| Format: | Artigo |
| Langue: | Inglês |
| Publié: |
Springer US
2009
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| Sujets: | |
| Accès en ligne: | https://ncbi.nlm.nih.gov/pmc/articles/PMC2940037/ https://ncbi.nlm.nih.gov/pubmed/19639401 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10827-009-0176-0 |
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