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Adaptive Stimulus Design for Dynamic Recurrent Neural Network Models
We present an adaptive stimulus design method for efficiently estimating the parameters of a dynamic recurrent network model with interacting excitatory and inhibitory neuronal populations. Although stimuli that are optimized for model parameter estimation should, in theory, have advantages over non...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2019
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6349832/ https://www.ncbi.nlm.nih.gov/pubmed/30723397 http://dx.doi.org/10.3389/fncir.2018.00119 |