A Hybrid Model for the Computationally-Efficient Simulation of the Cerebellar Granular Layer.

ABSTRACT: The aim of the present paper is to efficiently describe the membrane potential dynamics of neural populations formed by species having a high density difference in specific brain areas. We propose a hybrid model whose main ingredients are a conductance-based model (ODE system) and its continuous counterpart (PDE system) obtained through a limit process in which the number of neurons confined in a bounded region of the brain tissue is sent to infinity. Specifically, in the discrete model, each cell is described by a set of time-dependent variables, whereas in the continuum model, cells are grouped into populations that are described by a set of continuous variables. Communications between populations, which translate into interactions among the discrete and the continuous models, are the es

SUBMITTER: Cattani A 

PROVIDER: S-EPMC4837690 | biostudies-literature | 2016

REPOSITORIES: biostudies-literature