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Parameter estimation of history-dependent leaky integrate-and-fire neurons using maximum-likelihood methods
When a neuronal spike train is observed, what can we say about the properties of the neuron that generated it? A natural way to answer this question is to make an assumption about the type of neuron, select an appropriate model for this type, and then to choose the model parameters as those that are...
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| Main Authors: | , , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
2011
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3513351/ https://ncbi.nlm.nih.gov/pubmed/21851282 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1162/NECO_a_00196 |
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