A NeuroRobotic Model of Infant Looking Behavior


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dc.contributor.author Kerr, Emmett
dc.contributor.author Triesch, Jochen
dc.contributor.author Migliore, Davide
dc.contributor.author Spina, Gabriele
dc.contributor.author Chandrashekhariah, Pramod
dc.contributor.author Veale, Richard
dc.contributor.author Gatsoulis, Yiannis
dc.date.accessioned 2011-09-26T09:51:36Z
dc.date.available 2011-09-26T09:51:36Z
dc.date.issued 2011-09-26
dc.identifier.citation Kerr , E , Triesch , J , Migliore , D , Spina , G , Chandrashekhariah , P , Veale , R & Gatsoulis , Y 2011 , ' A NeuroRobotic Model of Infant Looking Behavior ' Paper presented at Capo Caccia Cognitive Neuromorphic Engineering Workshop , Aberystwyth , United Kingdom , 1/05/11 - 7/05/11 , . en
dc.identifier.citation conference en
dc.identifier.other PURE: 2089679
dc.identifier.other dspace: 2160/7584
dc.identifier.uri http://hdl.handle.net/2160/7584
dc.description Migliore, D., Kerr, E., Spina, G., Chandrashekhariah, P., Veale, R., Gatsoulis, Y., Triesch, J. (2011). A NeuroRobotic Model of Infant Looking Behavior. Deliverable for the IM-CLeVeR Spring School at the Capo Caccia Cognitive Neuromorphic Engineering Workshop, 1-7 May 2011. en
dc.description.abstract Very young human infants demonstrate visual exploration behavior. The behavior is modulated by habituation as stimuli are experienced multiple times. Primate studies have shown that when neural structures responsible for habituation are lesioned, the visual exploration behavior is retained while the habituation (learning) component is abolished. This paper presents an anatomically-inspired neuro-robotic model of thevisuomotor (oculomotor) system that can accomplish looking behavior similar to that observed in non-learning infants orin primates with lesioned parahippocampal regions. The neuroanatomicalbasis for the different parts of the model and theirinteraction are discussed. en
dc.format.extent 7 en
dc.language.iso eng
dc.title A NeuroRobotic Model of Infant Looking Behavior en
dc.type Text en
dc.type.publicationtype Conference paper en
dc.contributor.institution Intelligent Robotics Group en
dc.description.status Non peer reviewed en

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