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Recovery of computation capability for neural networks from damaged states using self-organized criticality

Detalles Bibliográficos
Autores principales: Kim, Hoon-Hee, Jeong, Jaeseung
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090916/
http://dx.doi.org/10.1186/1471-2202-11-S1-P30
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author Kim, Hoon-Hee
Jeong, Jaeseung
author_facet Kim, Hoon-Hee
Jeong, Jaeseung
author_sort Kim, Hoon-Hee
collection PubMed
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spelling pubmed-30909162011-05-11 Recovery of computation capability for neural networks from damaged states using self-organized criticality Kim, Hoon-Hee Jeong, Jaeseung BMC Neurosci Poster Presentation BioMed Central 2010-07-20 /pmc/articles/PMC3090916/ http://dx.doi.org/10.1186/1471-2202-11-S1-P30 Text en Copyright ©2010 Jeong and Kim; licensee BioMed Central Ltd.
spellingShingle Poster Presentation
Kim, Hoon-Hee
Jeong, Jaeseung
Recovery of computation capability for neural networks from damaged states using self-organized criticality
title Recovery of computation capability for neural networks from damaged states using self-organized criticality
title_full Recovery of computation capability for neural networks from damaged states using self-organized criticality
title_fullStr Recovery of computation capability for neural networks from damaged states using self-organized criticality
title_full_unstemmed Recovery of computation capability for neural networks from damaged states using self-organized criticality
title_short Recovery of computation capability for neural networks from damaged states using self-organized criticality
title_sort recovery of computation capability for neural networks from damaged states using self-organized criticality
topic Poster Presentation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3090916/
http://dx.doi.org/10.1186/1471-2202-11-S1-P30
work_keys_str_mv AT kimhoonhee recoveryofcomputationcapabilityforneuralnetworksfromdamagedstatesusingselforganizedcriticality
AT jeongjaeseung recoveryofcomputationcapabilityforneuralnetworksfromdamagedstatesusingselforganizedcriticality