MicrocircuitDB: Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)

Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)

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Model Information
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Accession:230138

We simulate a LIF neuron equipped with STDP. A pattern repeats in its inputs. The LIF progressively becomes selective to the repeating pattern, in an optimal manner.
Reference:
1 . Masquelier T (2018) STDP Allows Close-to-Optimal Spatiotemporal Spike Pattern Detection by Single Coincidence Detector Neurons. Neuroscience 389:133-140 [PubMed]

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

Model Type:	Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s):	Abstract integrate-and-fire leaky neuron;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment:	MATLAB;
Model Concept(s):	Coincidence Detection; STDP; Unsupervised Learning; Hebbian plasticity; Long-term Synaptic Plasticity; Pattern Recognition; Spatio-temporal Activity Patterns;
Implementer(s):	Masquelier, Tim [timothee.masquelier at alum.mit.edu];

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function timedLog(str)
c = clock;
disp([sprintf('%02.0f',c(4)) ':' sprintf('%02.0f',c(5)) ' : '  str])