Systematic generation of biophysically detailed models with generalization capability for non-spiking neurons.

ABSTRACT: Unlike spiking neurons which compress continuous inputs into digital signals for transmitting information via action potentials, non-spiking neurons modulate analog signals through graded potential responses. Such neurons have been found in a large variety of nervous tissues in both vertebrate and invertebrate species, and have been proven to play a central role in neuronal information processing. If general and vast efforts have been made for many years to model spiking neurons using conductance-based models (CBMs), very few methods have been developed for non-spiking neurons. When a CBM is built to characterize the neuron behavior, it should be endowed with generalization capabilities (i.e. the ability to predict acceptable neuronal responses to different novel stimuli not used during th

SUBMITTER: Naudin L 

PROVIDER: S-EPMC9106219 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature