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A Gray Code model for the encoding of grid cells in the Entorhinal Cortex

2021Journal article Restricted access
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dc.contributor.authorMonteiro, Jânio
dc.contributor.authorPedro, André
dc.contributor.authorSilva, António
dc.date.accessioned2021-11-10T16:47:37Z
dc.date.available2021-11-10T16:47:37Z
dc.date.issued2021
dc.description.abstractIn the brains of humans and mammals, the formation of episodic memories results from the association between objects, space and time. Both the hippocampus and the entorhinal cortex have shown to play an essential role in the formation of these memories. The hippocampus may be considered as an indexer of the pattern of neocortical activity produced by an episode, while the entorhinal cortex is characterized as performing time and space integration, conveying that information to the hippocampus, in the form of grid cells. Although these grid cells are biological based, non-biological grid cells are used in discrete global grid systems that currently support the indexing of assets across the globe, allowing a more adequate partitioning of the Earth into logical structures that take into account the heterogeneity of the scales of the associated geospatial data. The reasons that led to the definition of these grid systems at macro-levels may have led to the formation of similar structures inside our brains. In this paper, we investigate a representation that unifies these views, creating new types of Gray encodings for both one- and two-dimensional spaces. We start by defining a multilayer ternary encoder based on an equilateral triangular coordinate system. After defining a space filling method for this two-dimensional architecture, two Gray codes for one-dimensional signals are defined, for both circular/periodic and non-circular representations of signals. An algorithm is defined to build the two-dimensional Gray encoding of grid cells, which is then successfully applied in a navigation system of a robot, generating patterns of grid cells similar with the ones observed in neuroscience.pt_PT
dc.description.sponsorshipINTERREG 0517_TTUES_6_E
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.doi10.1007/s00521-021-06482-wpt_PT
dc.identifier.issn0941-0643
dc.identifier.urihttp://hdl.handle.net/10400.1/17305
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSpringerpt_PT
dc.subjectSpatial navigationpt_PT
dc.subjectSimultaneous localization and mappingpt_PT
dc.subjectGray codespt_PT
dc.subjectHexagonal mappingpt_PT
dc.subjectGrid cellspt_PT
dc.titleA Gray Code model for the encoding of grid cells in the Entorhinal Cortexpt_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.titleNeural Computing and Applicationspt_PT
person.familyNameMonteiro
person.familyNameda Silva Pedro
person.familyNameSilva
person.givenNameJânio
person.givenNameAndré
person.givenNameAntónio
person.identifierR-001-H74
person.identifier.ciencia-idD019-1CF7-B156
person.identifier.ciencia-id5F12-64E6-756D
person.identifier.ciencia-idEB17-11D8-E7BD
person.identifier.orcid0000-0002-4203-1679
person.identifier.orcid0000-0002-8359-1322
person.identifier.orcid0000-0002-1724-7777
person.identifier.ridO-3416-2015
person.identifier.ridN-6554-2013
person.identifier.scopus-author-id35606413800
person.identifier.scopus-author-id55846463600
rcaap.rightsrestrictedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication7701f2af-b9b8-42aa-bb1e-a13e5a4897be
relation.isAuthorOfPublication7f70f964-0e4b-4e8e-a41e-1cb930fd54e8
relation.isAuthorOfPublication564df7bf-2e6e-46bf-a80b-d37570d3b78d
relation.isAuthorOfPublication.latestForDiscovery7f70f964-0e4b-4e8e-a41e-1cb930fd54e8

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