http://rdf.ncbi.nlm.nih.gov/pubchem/patent/TW-201528162-A

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classificationCPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-08
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-04
http://rdf.ncbi.nlm.nih.gov/pubchem/patentcpc/G06N3-049
classificationIPCInventive http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-06
http://rdf.ncbi.nlm.nih.gov/pubchem/patentipc/G06N3-08
filingDate 2014-11-07-04:00^^<http://www.w3.org/2001/XMLSchema#date>
inventor http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_e442428b35c5d2db7421546317462f85
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_78093be3e0d2a6dc031ae100f188ea9f
http://rdf.ncbi.nlm.nih.gov/pubchem/patentinventor/MD5_6a6a821d51ff7b7d61702b29f6fa5aaa
publicationDate 2015-07-16-04:00^^<http://www.w3.org/2001/XMLSchema#date>
publicationNumber TW-201528162-A
titleOfInvention Using replay to perform synaptic learning in a spiking neural network
abstract The various aspects of the present invention relate to methods and apparatus for training an artificial nervous system. Recording the timing of spikes of artificial neurons during training iterations according to certain aspects, during the subsequent training iterations, replaying the spikes of the artificial neurons based on the recorded timing, and based at least in part on the subsequent training Iterative to update the parameters associated with the artificial neuron.
isCitedBy http://rdf.ncbi.nlm.nih.gov/pubchem/patent/TW-I673657-B
priorityDate 2013-11-08-04:00^^<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: 21.