2025-02-22T01:00:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: Query fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-86521%22&qt=morelikethis&rows=5
2025-02-22T01:00:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: => GET http://localhost:8983/solr/biblio/select?fl=%2A&wt=json&json.nl=arrarr&q=id%3A%22journaliasakpiua-article-86521%22&qt=morelikethis&rows=5
2025-02-22T01:00:21-05:00 DEBUG: VuFindSearch\Backend\Solr\Connector: <= 200 OK
2025-02-22T01:00:21-05:00 DEBUG: Deserialized SOLR response
Двовимірна модель навчання у спайкових нейронних мережах з гомеостазом та навчанням з підкріпленням
The huge complexity of molecular mechanisms that support memory formation makes it difficult to build simple, but precise and sufficient models for an efficient simulation of large neural networks. In this paper, we propose the phenomenological model of a learning rule that describes the synaptic st...
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Format: | Article |
Language: | Ukrainian |
Published: |
The National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute"
2017
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Subjects: | |
Online Access: | http://journal.iasa.kpi.ua/article/view/86521 |
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