Surround Suppression in V1 via Withdraw of Balanced Local Excitation in V1 (Shushruth 2012)


The model is mean-field network models, which is set up as a so-called ring-model, i. e. it is a highly idealized model of an orientation hypercolumn in primary visual cortex. Long-range intra-areal and inter-areal feedback connections are modeled phenomenologically as an external input. In this model, there are recurrent interactions via short-range local connections between orientation columns, but not between hypercolumns.

Model Type: Realistic Network

Cell Type(s): Neocortex L2/3 pyramidal GLU cell; Neocortex V1 interneuron basket PV GABA cell

Receptors: GabaA; AMPA

Transmitters: Gaba; Glutamate

Model Concept(s): Vision

Simulation Environment: MATLAB

References:

Shushruth S et al. (2012). Strong recurrent networks compute the orientation tuning of surround modulation in the primate primary visual cortex. The Journal of neuroscience : the official journal of the Society for Neuroscience 32 [PubMed]