http://rdf.ncbi.nlm.nih.gov/pubchem/patent/WO-2013000939-A1

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filingDate 2012-06-27-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_be68e99c42689d50e67d2aebfedbd515
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publicationDate 2013-01-03-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber WO-2013000939-A1
titleOfInvention Method for non-supervised learning in an artificial neurone network based on memristive nanodevices, and artificial neurone network implementing said method
abstract The invention relates to a method for non-supervised learning implemented in a network of artificial neurones based on memristive devices. Said method essentially involves increasing the conductivity of a synapse when there is temporal overlap between a pre-synaptic impulse and a post-synaptic impulse, and reducing the conductivity thereof when a post-synaptic impulse is received when there is no temporal overlap with a pre-synaptic impulse.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/US-10957396-B2
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priorityDate 2011-06-30-04:00^^<http://www.w3.org/2001/XMLSchema#date>
type http://data.epo.org/linked-data/def/patent/Publication

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Total number of triples: 28.