Topological Schemas of Memory Spaces

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dc.citation.articleNumber27
dc.citation.journalTitleFrontiers in Computational Neuroscience
dc.citation.volumeNumber12
dc.contributor.authorBabichev, Andrey
dc.contributor.authorDabaghian, Yuri A.
dc.date.accessioned2018-08-21T16:18:46Z
dc.date.available2018-08-21T16:18:46Z
dc.date.issued2018
dc.description.abstractHippocampal cognitive map-a neuronal representation of the spatial environment-is widely discussed in the computational neuroscience literature for decades. However, more recent studies point out that hippocampus plays a major role in producing yet another cognitive framework-the memory space-that incorporates not only spatial, but also non-spatial memories. Unlike the cognitive maps, the memory spaces, broadly understood as "networks of interconnections among the representations of events," have not yet been studied from a theoretical perspective. Here we propose a mathematical approach that allows modeling memory spaces constructively, as epiphenomena of neuronal spiking activity and thus to interlink several important notions of cognitive neurophysiology. First, we suggest that memory spaces have a topological nature-a hypothesis that allows treating both spatial and non-spatial aspects of hippocampal function on equal footing. We then model the hippocampal memory spaces in different environments and demonstrate that the resulting constructions naturally incorporate the corresponding cognitive maps and provide a wider context for interpreting spatial information. Lastly, we propose a formal description of the memory consolidation process that connects memory spaces to the Morris' cognitive schemas-heuristic representations of the acquired memories, used to explain the dynamics of learning and memory consolidation in a given environment. The proposed approach allows evaluating these constructs as the most compact representations of the memory space's structure.
dc.identifier.citationBabichev, Andrey and Dabaghian, Yuri A.. "Topological Schemas of Memory Spaces." <i>Frontiers in Computational Neuroscience,</i> 12, (2018) Frontiers: https://doi.org/10.3389/fncom.2018.00027.
dc.identifier.digitalfncom-12-00027
dc.identifier.doihttps://doi.org/10.3389/fncom.2018.00027
dc.identifier.urihttps://hdl.handle.net/1911/102485
dc.language.isoeng
dc.publisherFrontiers
dc.rightsThis is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.keywordcell assemblies
dc.subject.keywordcognitive map
dc.subject.keywordhippocampus
dc.subject.keywordmemory space
dc.subject.keywordplace cells
dc.subject.keywordtopology
dc.titleTopological Schemas of Memory Spaces
dc.typeJournal article
dc.type.dcmiText
dc.type.publicationpublisher version
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