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.
Model Type: Connectionist Network
Cell Type(s): Abstract integrate-and-fire leaky neuron
Model Concept(s): Synaptic Plasticity; Coincidence Detection; Unsupervised Learning
Simulation Environment: MATLAB
Implementer(s): Masquelier, Tim [timothee.masquelier at alum.mit.edu]
References:
Masquelier T, Saeed Reza. (2018). Optimal localist and distributed coding of spatiotemporal spike patterns through STDP and coincidence detection Front. Comput. Neurosci..