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Digit Recognition in a Simplified Visual Cortex Model

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dc.contributor.authorCevikbas, I. Can
dc.contributor.authorYildirim, Tulay
dc.contributor.institutionauthorYILDIRIM, Tülay
dc.date.accessioned2026-06-27T13:27:27Z
dc.date.issued2013
dc.description.abstractIn this paper a simplified visual cortex model is developed and application of the model to digit detection is explored. Retina and Lateral Geniculate Nucleus (LGN) is modeled as a combined 64x64 input cell array. An applied digit pattern produces Poisson spikes at the output of the combined retina-LGN cell array. Retina-LGN cells are connected to primary visual cortex (V1) cell network. Spike rate pattern of any digit applied to the input is used in digit detection.en
dc.identifier.isbn978-1-4799-0661-1; 978-1-4799-0659-8
dc.identifier.urihttps://hdl.handle.net/20.500.14981/52786
dc.identifier.wos000332186500021
dc.language.isoeng
dc.publisherIEEE
dc.relation.conferenceIEEE International Symposium on INnovations in Intelligent SysTems and Applications (INISTA)
dc.relation.ispartof2013 IEEE INTERNATIONAL SYMPOSIUM ON INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS (IEEE INISTA)
dc.subjectspiking neural network
dc.subjectdigit recognition
dc.subjectprimary visual cortex
dc.subjectORIENTATION SELECTIVITY
dc.subjectCOMPUTATION
dc.subjectCAT
dc.subjectComputer Science
dc.subjectEngineering
dc.titleDigit Recognition in a Simplified Visual Cortex Model
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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