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A Diffusion Approximation and Numerical Methods for Adaptive Neuron Models with Stochastic Inputs
Characterizing the spiking statistics of neurons receiving noisy synaptic input is a central problem in computational neuroscience. Monte Carlo approaches to this problem are computationally expensive and often fail to provide mechanistic insight. Thus, the field has seen the development of mathemat...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2016
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4840919/ https://www.ncbi.nlm.nih.gov/pubmed/27148036 http://dx.doi.org/10.3389/fncom.2016.00039 |