A spiking neural network model of the Lateral Geniculate Nucleus (Sen-Bhattacharya et al 2017)

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Accession:234118
Using Izhikevich's spiking neuron models, to build a network with a biologically informed synaptic layout emulating the Lateral Geniculate Nucleus.
Reference:
1 . Sen-Bhattacharya B, Serrano-Gotarredona T, Balassa L, Bhattacharya A, Stokes AB, Rowley A, Sugiarto I, Furber S (2017) A Spiking Neural Network Model of the Lateral Geniculate Nucleus on the SpiNNaker Machine. Front Neurosci 11:454 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Thalamus;
Cell Type(s): Abstract Izhikevich neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: SpiNNaker;
Model Concept(s): Temporal Pattern Generation; Activity Patterns; Oscillations;
Implementer(s): Sen-Bhattacharya, Basabdatta [basab.sen.b at gmail.com]; Serrano-Gotarredona T ; Balassa L ; Bhattacharya A ; Stokes AB ; Rowley A ;
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Sen-BhattacharyaEtAl2017
readme.html
LGN_SNN_IZKcurrexp_SpiNNaker.py