Orientation selectivity in inhibition-dominated recurrent networks (Sadeh and Rotter, 2015)


Emergence of contrast-invariant orientation selectivity in large-scale networks of excitatory and inhibitory neurons using integrate-and-fire neuron models.

Model Type: Realistic Network

Region(s) or Organism(s): Neocortex

Cell Type(s): Abstract integrate-and-fire leaky neuron

Transmitters: Gaba; Glutamate

Model Concept(s): Oscillations; Synchronization; Simplified Models; Synaptic Integration; Sensory processing; Orientation selectivity

Simulation Environment: NEST; Python

Implementer(s): Sadeh, Sadra [s.sadeh at ucl.ac.uk]

References:

Sadeh S, Rotter S. (2015). Orientation selectivity in inhibition-dominated networks of spiking neurons: effect of single neuron properties and network dynamics. PLoS computational biology. 11 [PubMed]


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