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Investigating the synchronization of cortical neurons using BRIAN simulator

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dc.contributor.authorKbah, Sadeem Nabeel Saleem
dc.contributor.authorSengor, N. Serap
dc.date.accessioned2026-01-26T05:08:52Z
dc.date.issued2013-06-01
dc.description.abstractLooking at the computational properties of brain has been inspiring in constructing intelligent systems. So, trying to mimic the brain's computational properties with simple models could give rise to new approaches. Here, the role of connection weights on the synchronization of cortex oscillations is investigated. To carry out this investigation, networks inspired by the structure of cortex are built using a simple neuron model. The simulations are carried out in BRIAN, which is a simulation environment using Python programming language and it is created to provide a workspace on spiking neural networks.
dc.description.urihttps://doi.org/10.1109/inista.2013.6577669
dc.description.urihttps://dx.doi.org/10.1109/inista.2013.6577669
dc.description.urihttps://aperta.ulakbim.gov.tr/record/16117
dc.identifier.doi10.1109/inista.2013.6577669
dc.identifier.endpage5
dc.identifier.openairedoi_dedup___::e8bdeb3915dda1ce8233b81f490503ea
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11527/61890
dc.publisherIEEE
dc.relation.ispartof2013 IEEE INISTA
dc.rightsOPEN
dc.sdg.typeGoal 7: Affordable and Clean Energy
dc.titleInvestigating the synchronization of cortical neurons using BRIAN simulator
dc.typeArticle
dspace.entity.typePublication

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