Learning and discrimination through STDP in a top-down modulated associative memory

Abstract : This article underlines the learning and discrimination capabilities of a model of associative memory based on artificial networks of spiking neurons. Inspired from neuropsychology and neurobiology, the model implements top-down modulations, as in neocortical layer V pyramidal neurons, with a learning rule based on synaptic plasticity (STDP), for performing a multimodal association learning task. A temporal correlation method of analysis proves the ability of the model to associate specific activity patterns to different samples of stimulation. Even in the absence of initial learning and with continuously varying weights, the activity patterns become stable enough for discrimination.
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https://hal.archives-ouvertes.fr/hal-00115420
Contributor : Anthony Mouraud <>
Submitted on : Tuesday, November 21, 2006 - 12:52:34 PM
Last modification on : Wednesday, July 18, 2018 - 8:11:26 PM
Long-term archiving on : Tuesday, April 6, 2010 - 11:07:42 PM

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Anthony Mouraud, Hélène Paugam-Moisy. Learning and discrimination through STDP in a top-down modulated associative memory. Mar 2006, pp.611-616. ⟨hal-00115420⟩

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