Contributo in volume, 2023, ENG, 10.1007/978-3-031-33050-6_8

A Review of Stochastic Models of Neuronal Dynamics: From a Single Neuron to Networks

Carfora Maria Francesca

Istituto per le Applicazioni del Calcolo "Mauro Picone"

After giving some background on neuron physiology, the classical (deterministic) models for the generation of action potentials are briefly introduced and their limitations discussed, so to motivate the need for a stochastic description of the neuronal firing activity. The more relevant stochastic models for single neuron dynamics are reviewed, with particular attention to the phenomenon of spike-frequency adaptation. Then some approaches to the modeling of network dynamics, where populations of excitatory and inhibitory neurons interact, are described. Finally, some recent models applying suitable strategies to reproduce complex neural dynamics emerging from networks of spiking neurons, such as fractional differentiation or other memory effects, are introduced as a perspective for current and future research.

Keywords

stochastic neuron, leaky-integrate-and-fire model, spike-frequency adaptation, network dynamics

CNR authors

Carfora Maria Francesca

CNR institutes

IAC – Istituto per le applicazioni del calcolo "Mauro Picone"

ID: 487039

Year: 2023

Type: Contributo in volume

Creation: 2023-10-03 18:17:55.000

Last update: 2023-10-24 15:01:49.000

External links

OAI-PMH: Dublin Core

OAI-PMH: Mods

OAI-PMH: RDF

DOI: 10.1007/978-3-031-33050-6_8

External IDs

CNR OAI-PMH: oai:it.cnr:prodotti:487039

DOI: 10.1007/978-3-031-33050-6_8

Google Scholar: https://scholar.google.com/citations?view_op=view_citation&hl=it&user=gFQsMbMAAAAJ&sortby=pubdate&citation_for_view=gFQsMbMAAAAJ:BqipwSGYUEgC