Piecewise quadratic neuron model: A tool for close-to-biology spiking neuronal network simulation on dedicated hardware.

ABSTRACT: Spiking neuron models simulate neuronal activities and allow us to analyze and reproduce the information processing of the nervous system. However, ionic-conductance models, which can faithfully reproduce neuronal activities, require a huge computational cost, while integral-firing models, which are computationally inexpensive, have some difficulties in reproducing neuronal activities. Here we propose a Piecewise Quadratic Neuron (PQN) model based on a qualitative modeling approach that aims to reproduce only the key dynamics behind neuronal activities. We demonstrate that PQN models can accurately reproduce the responses of ionic-conductance models of major neuronal classes to stimulus inputs of various magnitudes. In addition, the PQN model is designed to support the efficient implementa

SUBMITTER: Nanami T 

PROVIDER: S-EPMC9870328 | biostudies-literature | 2022

REPOSITORIES: biostudies-literature