ModelDB: A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)

A NN with synaptic depression for testing the effects of connectivity on dynamics (Jacob et al 2019)

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Accession:261623

Here we used a 10,000 neuron model. The neurons are a mixture of excitatory and inhibitory integrate-and-fire neurons connected with synapses that exhibit synaptic depression. Three different connectivity paradigms were tested to look for spontaneous transition between interictal spiking and seizure: uniform, small-world network, and scale-free. All three model types are included here.
Reference:
1 . Jacob T, Lillis KP, Wang Z, Swiercz W, Rahmati N, Staley KJ (2019) A Proposed Mechanism for Spontaneous Transitions between Interictal and Ictal Activity. J Neurosci 39:557-575 [PubMed]

Model Information (Click on a link to find other models with that property)

Model Type:	Connectionist Network;
Brain Region(s)/Organism:	Mouse; Hippocampus;
Cell Type(s):	Abstract integrate-and-fire neuron;
Channel(s):	I_K,Na;
Gap Junctions:
Receptor(s):	GabaA; Glutamate;
Gene(s):
Transmitter(s):	Gaba; Glutamate;
Simulation Environment:	C or C++ program;
Model Concept(s):	Connectivity matrix; Epilepsy;
Implementer(s):	Jacob, Theju ;