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dc.contributor.author
Carbajal, Juan Pablo  
dc.contributor.author
Mártin, Daniel Alejandro  
dc.contributor.author
Chialvo, Dante Renato  
dc.date.available
2023-10-03T15:26:54Z  
dc.date.issued
2022-05  
dc.identifier.citation
Carbajal, Juan Pablo; Mártin, Daniel Alejandro; Chialvo, Dante Renato; Learning by mistakes in memristor networks; American Physical Society; Physical Review E: Statistical, Nonlinear and Soft Matter Physics; 105; 5; 5-2022; 1-10  
dc.identifier.issn
1539-3755  
dc.identifier.uri
http://hdl.handle.net/11336/213954  
dc.description.abstract
Recent results revived the interest in the implementation of analog devices able to perform brainlike operations. Here we introduce a training algorithm for a memristor network which is inspired by previous work on biological learning. Robust results are obtained from computer simulations of a network of voltage-controlled memristive devices. Its implementation in hardware is straightforward, being scalable and requiring very little peripheral computation overhead.  
dc.format
application/pdf  
dc.language.iso
eng  
dc.publisher
American Physical Society  
dc.rights
info:eu-repo/semantics/openAccess  
dc.rights.uri
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/  
dc.subject
MEMRISTOR  
dc.subject
NETWORKS  
dc.subject
NEUROMORPHING  
dc.subject
NEURAL NETWORKS  
dc.subject.classification
Otras Ciencias Físicas  
dc.subject.classification
Ciencias Físicas  
dc.subject.classification
CIENCIAS NATURALES Y EXACTAS  
dc.title
Learning by mistakes in memristor networks  
dc.type
info:eu-repo/semantics/article  
dc.type
info:ar-repo/semantics/artículo  
dc.type
info:eu-repo/semantics/publishedVersion  
dc.date.updated
2023-08-08T13:40:50Z  
dc.identifier.eissn
2470-0053  
dc.journal.volume
105  
dc.journal.number
5  
dc.journal.pagination
1-10  
dc.journal.pais
Estados Unidos  
dc.description.fil
Fil: Carbajal, Juan Pablo. University of Applied Sciences of Eastern Switzerland; Suiza  
dc.description.fil
Fil: Mártin, Daniel Alejandro. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina  
dc.description.fil
Fil: Chialvo, Dante Renato. Consejo Nacional de Investigaciones Científicas y Técnicas. Instituto de Ciencias Físicas. - Universidad Nacional de San Martín. Instituto de Ciencias Físicas; Argentina  
dc.journal.title
Physical Review E: Statistical, Nonlinear and Soft Matter Physics  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/url/https://journals.aps.org/pre/abstract/10.1103/PhysRevE.105.054306  
dc.relation.alternativeid
info:eu-repo/semantics/altIdentifier/doi/http://dx.doi.org/10.1103/PhysRevE.105.054306  

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