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Fitting of dynamic recurrent neural network models to sensory stimulus-response data
We present a theoretical study aiming at model fitting for sensory neurons. Conventional neural network training approaches are not applicable to this problem due to lack of continuous data. Although the stimulus can be considered as a smooth time-dependent variable, the associated response will be...
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| Publicado no: | J Biol Phys |
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| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Springer Netherlands
2018
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6082798/ https://ncbi.nlm.nih.gov/pubmed/29860641 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s10867-018-9501-z |
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