Rate model of a cortical RS-FS-LTS network (Hayut et al. 2011)


A rate model of cortical networks composed of RS, FS and LTS neurons. Synaptic depression is modelled according to the Tsodyks-Markram scheme.

Model Type: Realistic Network

Cell Type(s): Neocortex fast spiking (FS) interneuron; Neocortex spiking regular (RS) neuron; Neocortex spiking low threshold (LTS) neuron

Model Concept(s): Short-term Synaptic Plasticity; Rate-coding model neurons

Simulation Environment: C or C++ program

Implementer(s): Golomb, David [golomb at bgu.ac.il]

References:

Hayut I, Fanselow EE, Connors BW, Golomb D. (2011). LTS and FS inhibitory interneurons, short-term synaptic plasticity, and cortical circuit dynamics. PLoS computational biology. 7 [PubMed]


This website requires cookies and limited processing of your personal data in order to function. By continuing to browse or otherwise use this site, you are agreeing to this use. See our Privacy policy and how to cite and terms of use.