[Neuronal network with modifiable synapses: decoding of composite sensory messages under unsupervised and permanent learning].

J Hérault; B Ans

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PubMed · 6437617

[Neuronal network with modifiable synapses: decoding of composite sensory messages under unsupervised and permanent learning].

J Hérault·B Ans

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Abstract

Afferent sensory fibers carry usually messages which combine several primitive entities. A model of neural structure under unsupervised and permanent learning is proposed, which can detect the primary independent entities mixed in the afferent message. The model is a network of neurons mutually interconnected by means of inhibitory modifiable synapses with efficacies locally controlled by a specific conjunction law of pre- and post-synaptic activities.

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Learning Models, Neurological Neural Conduction Neuronal Plasticity Neurons, Afferent Synapses English Abstract Journal Article

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J Hérault, B Ans. 1984. [Neuronal network with modifiable synapses: decoding of composite sensory messages under unsupervised and permanent learning].. https://pubmed.ncbi.nlm.nih.gov/6437617/

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