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STDP allows fast rate-modulated coding with Poisson-like spike trains (Gilson et al. 2011)
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Model Information
Model File
Accession:
136717
The model demonstrates that a neuron equipped with STDP robustly detects repeating rate patterns among its afferents, from which the spikes are generated on the fly using inhomogenous Poisson sampling, provided those rates have narrow temporal peaks (10-20ms) - a condition met by many experimental Post-Stimulus Time Histograms (PSTH).
Reference:
1 .
Gilson M, Masquelier T, Hugues E (2011) STDP allows fast rate-modulated coding with Poisson-like spike trains.
PLoS Comput Biol
7
:e1002231
[
PubMed
]
Citations
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Model Information
(Click on a link to find other models with that property)
Model Type:
Realistic Network;
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;
Brian;
Python;
Model Concept(s):
Pattern Recognition;
Activity Patterns;
Coincidence Detection;
Spatio-temporal Activity Patterns;
Simplified Models;
Synaptic Plasticity;
Long-term Synaptic Plasticity;
Learning;
Unsupervised Learning;
STDP;
Noise Sensitivity;
Information transfer;
Implementer(s):
Masquelier, Tim [timothee.masquelier at alum.mit.edu];
Download the displayed file
/
GilsonEtAl2011
src
analyze.py
convergence.m
customrefractoriness.py
*
Other models using customrefractoriness.py:
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
generatePeak.m
generateSpikeTrain.m
init.py
main.py
mutualInfo.py
param.m
peak2spike.m
pickleAll.py
*
Other models using pickleAll.py:
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
poisson.m
restore.py
*
Other models using restore.py:
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
saveCurrent.py
savePot.py
saveWeight.py
spikeToBurst.m
timedLog.m
*
Other models using timedLog.m:
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
timedLogLn.m
*
Other models using timedLogLn.m:
Microsaccades and synchrony coding in the retina (Masquelier et al. 2016)
Optimal Localist and Distributed Coding Through STDP (Masquelier & Kheradpisheh 2018)
Optimal spatiotemporal spike pattern detection by STDP (Masquelier 2017)
Relative spike time coding and STDP-based orientation selectivity in V1 (Masquelier 2012)
toMatlab.py
*
Other models using toMatlab.py:
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
unpickleAll.py
*
Other models using unpickleAll.py:
Oscillations, phase-of-firing coding and STDP: an efficient learning scheme (Masquelier et al. 2009)
function timedLogLn(str) disp(' '); timedLog(str);
