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dc.contributor.authorMillán Vidal, Ana Paula 
dc.contributor.authorTorres Agudo, Joaquín 
dc.contributor.authorMarro Borau, Joaquín 
dc.date.accessioned2020-05-15T09:37:35Z
dc.date.available2020-05-15T09:37:35Z
dc.date.issued2019-04-16
dc.identifier.citationMillán AP, Torres JJ and Marro J (2019) How Memory Conforms to Brain Development. Front. Comput. Neurosci. 13:22. [doi: 10.3389/fncom.2019.00022]es_ES
dc.identifier.urihttp://hdl.handle.net/10481/62096
dc.description.abstractNature exhibits countless examples of adaptive networks, whose topology evolves constantly coupled with the activity due to its function. The brain is an illustrative example of a system in which a dynamic complex network develops by the generation and pruning of synaptic contacts between neurons while memories are acquired and consolidated. Here, we consider a recently proposed brain developing model to study how mechanisms responsible for the evolution of brain structure affect and are affected by memory storage processes. Following recent experimental observations, we assume that the basic rules for adding and removing synapses depend on local synaptic currents at the respective neurons in addition to global mechanisms depending on the mean connectivity. In this way a feedback loop between “form” and “function” spontaneously emerges that influences the ability of the system to optimally store and retrieve sensory information in patterns of brain activity or memories. In particular, we report here that, as a consequence of such a feedback-loop, oscillations in the activity of the system among the memorized patterns can occur, depending on parameters, reminding mind dynamical processes. Such oscillations have their origin in the destabilization of memory attractors due to the pruning dynamics, which induces a kind of structural disorder or noise in the system at a long-term scale. This constantly modifies the synaptic disorder induced by the interference among the many patterns of activity memorized in the system. Such new intriguing oscillatory behavior is to be associated only to long-term synaptic mechanisms during the network evolution dynamics, and it does not depend on short-term synaptic processes, as assumed in other studies, that are not present in our model.es_ES
dc.description.sponsorshipFinancial support from the Spanish Ministry of Science and Technology, and the Agencia Española de Investigación (AEI) under grant FIS2017-84256-P (FEDER funds) and from the Obra Social La Caixa (ID 100010434, with code LCF/BQ/ES15/10360004). This study has been also partially financed by the Consejería de Conocimiento, Investigación y Universidad, Junta de Andalucía and European Regional Development Fund (ERDF), with reference SOMM17/6105/UGR.es_ES
dc.language.isoenges_ES
dc.publisherFrontiers Mediaes_ES
dc.rightsAtribución 3.0 España*
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectBrain developinges_ES
dc.subjectBrain structure and functiones_ES
dc.subjectSynaptic pruninges_ES
dc.subjectStorage capacityes_ES
dc.subjectDynamic memorieses_ES
dc.titleHow Memory Conforms to Brain Developmentes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES
dc.identifier.doi10.3389/fncom.2019.00022


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