TY - JOUR
T1 - A Rate-Reduced Neuron Model for Complex Spiking Behavior
AU - Dijkstra, Koen
AU - Kouznetsov, Yuri A.
AU - van Putten, Michel J.A.M.
AU - van Gils, Stephan A.
PY - 2017/12/11
Y1 - 2017/12/11
N2 - We present a simple rate-reduced neuron model that captures a wide range of complex, biologically plausible, and physiologically relevant spiking behavior. This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking and accommodation, first-spike latency, and inhibition-induced spiking. Furthermore, the model can mimic different neuronal filter properties. It can be used to extend existing neural field models, adding more biological realism and yielding a richer dynamical structure. 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 range of complex, biologically plausible, and physiologically relevant spiking behavior. This includes spike-frequency adaptation, postinhibitory rebound, phasic spiking and accommodation, first-spike latency, and inhibition-induced spiking. Furthermore, the model can mimic different neuronal filter properties. It can be used to extend existing neural field models, adding more biological realism and yielding a richer dynamical structure. 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 - Journal of mathematical neuroscience
JF - Journal of mathematical neuroscience
M1 - 13
ER -