Systematic generation of biophysically detailed models for diverse cortical neuron types.

ABSTRACT: The cellular components of mammalian neocortical circuits are diverse, and capturing this diversity in computational models is challenging. Here we report an approach for generating biophysically detailed models of 170 individual neurons in the Allen Cell Types Database to link the systematic experimental characterization of cell types to the construction of cortical models. We build models from 3D morphologies and somatic electrophysiological responses measured in the same cells. Densities of active somatic conductances and additional parameters are optimized with a genetic algorithm to match electrophysiological features. We evaluate the models by applying additional stimuli and comparing model responses to experimental data. Applying this technique across a diverse set of neurons from a

SUBMITTER: Gouwens NW 

PROVIDER: S-EPMC5818534 | biostudies-literature | 2018 Feb

REPOSITORIES: biostudies-literature