Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)

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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]
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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STDP
data
conv.mat
pattern.mat
                            
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