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dc.contributor.authorWilkinson, N
dc.contributor.authorMetta, G
dc.date.accessioned2017-06-23T15:46:28Z
dc.date.available2017-06-23T15:46:28Z
dc.date.issued2014
dc.identifier.issn1662-5218
dc.identifier.issn1662-5218
dc.identifier.otherARTN 9
dc.identifier.urihttp://hdl.handle.net/10026.1/9538
dc.description.abstract

Empirical studies have revealed remarkable perceptual organization in neonates. Newborn behavioral distinctions have often been interpreted as implying functionally specific modular adaptations, and are widely cited as evidence supporting the nativist agenda. In this theoretical paper, we approach newborn perception and attention from an embodied, developmental perspective. At the mechanistic level, we argue that a generative mechanism based on mutual gain control between bilaterally corresponding points may underly a number of functionally defined "innate predispositions" related to spatial-configural perception. At the computational level, bilateral gain control implements beamforming, which enables spatial-configural tuning at the front end sampling stage. At the psychophysical level, we predict that selective attention in newborns will favor contrast energy which projects to bilaterally corresponding points on the neonate subject's sensor array. The current work extends and generalizes previous work to formalize the bilateral correlation model of newborn attention at a high level, and demonstrate in minimal agent-based simulations how bilateral gain control can enable a simple, robust and "social" attentional bias.

dc.format.extent16-30
dc.format.mediumElectronic-eCollection
dc.languageeng
dc.language.isoeng
dc.publisherFrontiers Media SA
dc.subjectbilateral symmetry
dc.subjectgain control
dc.subjectinnate predisposition
dc.subjectembodiment
dc.subjectbeamforming
dc.subjectattention
dc.subject"like me"
dc.subjecthuman-robot interaction
dc.titleBilateral gain control; an “innate predisposition” for all sorts of things
dc.typejournal-article
dc.typeArticle
plymouth.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/24611045
plymouth.issueFEB
plymouth.volume8
plymouth.publication-statusPublished online
plymouth.journalFrontiers in Neurorobotics
dc.identifier.doi10.3389/fnbot.2014.00009
plymouth.organisational-group/Plymouth
plymouth.organisational-group/Plymouth/Faculty of Science and Engineering
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA
plymouth.organisational-group/Plymouth/REF 2021 Researchers by UoA/UoA11 Computer Science and Informatics
dc.publisher.placeSwitzerland
dcterms.dateAccepted2014-02-05
dc.identifier.eissn1662-5218
dc.rights.embargoperiodNot known
rioxxterms.versionofrecord10.3389/fnbot.2014.00009
rioxxterms.licenseref.urihttp://www.rioxx.net/licenses/all-rights-reserved
rioxxterms.licenseref.startdate2014
rioxxterms.typeJournal Article/Review


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