A universal workflow for creation, validation, and generalization of detailed neuronal models.

ABSTRACT: Detailed single-neuron modeling is widely used to study neuronal functions. While cellular and functional diversity across the mammalian cortex is vast, most of the available computational tools focus on a limited set of specific features characteristic of a single neuron. Here, we present a generalized automated workflow for the creation of robust electrical models and illustrate its performance by building cell models for the rat somatosensory cortex. Each model is based on a 3D morphological reconstruction and a set of ionic mechanisms. We use an evolutionary algorithm to optimize neuronal parameters to match the electrophysiological features extracted from experimental data. Then we validate the optimized models against additional stimuli and assess their generalizability on a populati

SUBMITTER: Reva M 

PROVIDER: S-EPMC10682753 | biostudies-literature | 2023 Nov

REPOSITORIES: biostudies-literature