Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)

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Accession:244684
We show how a LIF neuron equipped with STDP can become optimally selective, in an unsupervised manner, to one or several repeating spike patterns, even when those patterns are hidden in Poisson spike trains.
Reference:
1 . Masquelier T, Saeed Reza Kheradpisheh SR (2018) Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection Front. Comput. Neurosci.
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Model Information (Click on a link to find other models with that property)
Model Type: Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s): Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
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Simulation Environment: MATLAB;
Model Concept(s): Synaptic Plasticity; Coincidence Detection; Unsupervised Learning;
Implementer(s): Masquelier, Tim [timothee.masquelier at alum.mit.edu];
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MasquelierEtAl2018
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