The model investigates the impact of learning on functional sensory networks. It uses large-scale recurrent networks of excitatory and inhibitory spiking neurons equipped with synaptic plasticity. It explains enhancement of orientation selectivity and emergence of feature-specific connectivity in visual cortex of rodents during development, as reported in experiments.
Model Type: Realistic Network
Cell Type(s): Abstract integrate-and-fire leaky neuron
Simulation Environment: Python
Implementer(s): Sadeh, Sadra [s.sadeh at ucl.ac.uk]