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

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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.
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.
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;
Gap Junctions:
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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