Categorization of neural excitability using threshold models

Arnaud Tonnelier (1)

1 CORTEX - Neuromimetic intelligence

A classification of spiking neurons according to the transition from quiescence to periodic firing of action potentials is commonly used. Nonbursting neurons are classified into two types, type I and type II excitability. We use simple phenomenological spiking neuron models to derive a criterion for the determination of the neural excitability based on the afterpotential following a spike. The crucial characteristic is the existence for type II model of a positive overshoot, i.e. a delayed afterdepolarization, during the recovery process of the membrane potential. Our prediction is numerically tested using well known type I and type II models including the Connor et al. model and the Hodgkin-Huxley model.

Mots clés: Neural excitability; spike-response model

Domaines: Systèmes dynamiques [math.DS]; Neurosciences

Arnaud Tonnelier. Categorization of neural excitability using threshold models. Neural Computation, 2005, 17 (7), pp.1447-1455. ⟨inria-00000581v2⟩