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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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Dades bibliogràfiques
Publicat a:Front Comput Neurosci
Autor principal: Rosenbaum, Robert
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2016
Matèries:
Accés en línia: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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