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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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| Pubblicato in: | Front Comput Neurosci |
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| Autore principale: | |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Frontiers Media S.A.
2016
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4840919/ https://ncbi.nlm.nih.gov/pubmed/27148036 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2016.00039 |
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