TY - JOUR
T1 - A rate-reduced neuron model for complex spiking
AU - Dijkstra, K.
AU - Kuznetsov, Yu.A.
AU - van Puttem, Michel J.A.M.
AU - van Gils, S.A.
PY - 2017
Y1 - 2017
N2 - We present a simple rate-reduced neuron model that captures a wide rangeof complex, biologically plausible, and physiologically relevant spiking behavior.This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking andaccommodation, first-spike latency, and inhibition-induced spiking. Furthermore, themodel can mimic different neuronal filter properties. It can be used to extend existingneural field models, adding more biological realism and yielding a richer dynamicalstructure. The model is based on a slight variation of the Rulkov map.
AB - We present a simple rate-reduced neuron model that captures a wide rangeof complex, biologically plausible, and physiologically relevant spiking behavior.This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking andaccommodation, first-spike latency, and inhibition-induced spiking. Furthermore, themodel can mimic different neuronal filter properties. It can be used to extend existingneural field models, adding more biological realism and yielding a richer dynamicalstructure. The model is based on a slight variation of the Rulkov map.
U2 - 10.1186/s13408-017-0055-3
DO - 10.1186/s13408-017-0055-3
M3 - Article
SN - 2190-8567
VL - 7
JO - The Journal of Mathematical Neuroscience
JF - The Journal of Mathematical Neuroscience
IS - 13
ER -