Utilize este identificador para referenciar este registo: https://hdl.handle.net/1822/24632

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dc.contributor.authorSilva, Ana-
dc.contributor.authorSantos, Cristina-
dc.date.accessioned2013-07-10T17:38:04Z-
dc.date.available2013-07-10T17:38:04Z-
dc.date.issued2013-
dc.identifier.isbn9781467361286por
dc.identifier.issn2161-4393por
dc.identifier.urihttps://hdl.handle.net/1822/24632-
dc.description.abstractDue to their relatively simple nervous system, insects are an excellent way through which we can investigate how visual information is acquired and processed in order to trigger specific behaviours, as flight stabilization, flying speed adaptation, collision avoidance responses, among others. From the behaviours previously mentioned, we are particularly interested in visually evoked collision avoidance responses. These behaviors are, by necessity, fast and robust, making them excellent systems to study the neural basis of behavior. On the other hand, artificial collision avoidance is a complex task, in which the algorithms used need to be fast to process the captured data and then perform real time decisions. Consequently, neurorobotic models may provide a foundation for the development of more effective and autonomous devices.por
dc.language.isoengpor
dc.publisherIEEEpor
dc.rightsopenAccesspor
dc.titleModeling disinhibition within a layered structure of the LGMD neuronpor
dc.typeconferencePaperpor
dc.peerreviewedyespor
sdum.publicationstatuspublishedpor
sdum.event.titleInternational Joint Conference on Neural Networks (IJCNN)-
oaire.citationTitleInternational Joint Conference on Neural Networks (IJCNN)por
dc.identifier.doi10.1109/IJCNN.2013.6707010por
dc.subject.wosScience & Technologypor
sdum.journalIEEE International Joint Conference on Neural Networks (IJCNN)por
sdum.conferencePublication2013 INTERNATIONAL JOINT CONFERENCE ON NEURAL NETWORKS (IJCNN)por
Aparece nas coleções:CAlg - Artigos em livros de atas/Papers in proceedings

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