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Simplified Visual Cortex Model for Pattern Recognition

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dc.contributor.authorCevikbas, Can
dc.contributor.authorYildirim, Tulay
dc.date.accessioned2026-06-27T14:20:42Z
dc.date.issued2018
dc.description.abstractA simplified primary cortex model is developed that can be used in pattern recognition. There are 1024 excitatory, 256 inhibitory cells. Integrate and Fire neuron model is chosen in the simulations. Each cell in the model may have three type of sources for input; sensory, connection and a constant background. Spike Timing Dependent Plasticity (STDP) is incorporated to change connection coefficient of two connected cells.en
dc.identifier.endpage186
dc.identifier.isbn978-1-5386-7786-5
dc.identifier.startpage183
dc.identifier.urihttps://hdl.handle.net/20.500.14981/59504
dc.identifier.wos000455592800015
dc.language.isoeng
dc.publisherIEEE
dc.relation.conferenceInnovations in Intelligent Systems and Applications Conference (ASYU)
dc.relation.ispartof2018 INNOVATIONS IN INTELLIGENT SYSTEMS AND APPLICATIONS CONFERENCE (ASYU)
dc.subjectPattern recognition
dc.subjectvisual cortex
dc.subjectneuron
dc.subjectSpike Timing Dependent Plasticity
dc.subjectCONNECTIONS
dc.subjectComputer Science
dc.subjectEngineering
dc.titleSimplified Visual Cortex Model for Pattern Recognition
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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