Network model of two populations of randomly connected inhibitory and excitatory neurons to validate method for reconstructing the neural circuitry developed in "Reconstructing Neuronal Circuitry from Parallel Spike Trains" by Ryota Kobayashi, Shuhei Kurita, Anno Kurth, Katsunori Kitano, Kenji Mizuseki, Markus Diesmann, Barry J. Richmond and Shigeru Shinomoto.
Model Type: Realistic Network
Cell Type(s): Abstract integrate-and-fire leaky neuron with exponential post-synaptic current
Model Concept(s): Methods
Simulation Environment: NEST
Implementer(s): Kurth, Anno [a.kurth at fz-juelich.de]
References:
Kobayashi R et al. (2019). Reconstructing neuronal circuitry from parallel spike trains. Nature communications. 10 [PubMed]