Generation of biophysical neuron model parameters from recorded electrophysiological responses.

ABSTRACT: Recent advances in connectomics, biophysics, and neuronal electrophysiology warrant modeling of neurons with further details in both network interaction and cellular dynamics. Such models may be referred to as ElectroPhysiome, as they incorporate the connectome and individual neuron electrophysiology to simulate neuronal activities. The nervous system of Caenorhabditis elegans is considered a viable framework for such ElectroPhysiome studies due to advances in connectomics of its somatic nervous system and electrophysiological recordings of neuron responses. In order to achieve a simulated ElectroPhysiome, the set of parameters involved in modeling individual neurons needs to be estimated from electrophysiological recordings. Here, we address this challenge by developing a deep gene

SUBMITTER: Kim J 

PROVIDER: S-EPMC12643469 | biostudies-literature | 2025 Nov

REPOSITORIES: biostudies-literature