"... In this work, we address the problem of understanding the cortical processing of color information with a possible mechanism of the development of the patchy distribution of color selectivity via computational modeling. ... Our model of the early visual system consists of multiple topographically-arranged layers of excitatory and inhibitory neurons, with sparse intra-layer connectivity and feed-forward connectivity between layers. Layers are arranged based on anatomy of early visual pathways, and include a retina, lateral geniculate nucleus, and layered neocortex. ... After training with natural images, the neurons display heightened sensitivity to specific colors. ..."
Model Type: Realistic Network
Region(s) or Organism(s): Neocortex; Thalamus; Retina
Cell Type(s): Hodgkin-Huxley neuron
Currents: I K; I Na, leak
Model Concept(s): Learning; STDP; Laminar Connectivity; Development; Information transfer; Sensory processing; Hebbian plasticity; Vision
Simulation Environment: NEURON; Python
Implementer(s): Eguchi, Akihiro [akihiro.eguchi at psy.ox.ac.uk]
References:
Eguchi A, Neymotin SA, Stringer SM. (2014). Color opponent receptive fields self-organize in a biophysical model of visual cortex via spike-timing dependent plasticity Frontiers in neural circuits. 8 [PubMed]