I&F recurrent networks with current- or conductance-based synapses (Cavallari et al. 2014)


Recurrent networks of two populations (excitatory and inhibitory) of randomly connected Leaky Integrate-and-Fire (LIF) neurons with either current- or conductance-based synapses from the paper S. Cavallari, S. Panzeri and A. Mazzoni (2014)

Model Type: Realistic Network; Neuron or other electrically excitable cell

Region(s) or Organism(s): Neocortex

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

Receptors: GabaA; AMPA

Model Concept(s): Activity Patterns

Simulation Environment: MATLAB

Implementer(s): Cavallari, Stefano [stefano.cavallari at iit.it]

References:

Cavallari S, Panzeri S, Mazzoni A. (2014). Comparison of the dynamics of neural interactions between current-based and conductance-based integrate-and-fire recurrent networks. Frontiers in neural circuits. 8 [PubMed]


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