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Investigating the synchronization of cortical neurons using BRIAN Simulator

Kbah, Sadeem Nabeel Saleem; Sengor, N. Serap


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<resource xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns="http://datacite.org/schema/kernel-4" xsi:schemaLocation="http://datacite.org/schema/kernel-4 http://schema.datacite.org/meta/kernel-4.1/metadata.xsd">
  <identifier identifierType="URL">https://aperta.ulakbim.gov.tr/record/16117</identifier>
  <creators>
    <creator>
      <creatorName>Kbah, Sadeem Nabeel Saleem</creatorName>
      <givenName>Sadeem Nabeel Saleem</givenName>
      <familyName>Kbah</familyName>
    </creator>
    <creator>
      <creatorName>Sengor, N. Serap</creatorName>
      <givenName>N. Serap</givenName>
      <familyName>Sengor</familyName>
      <affiliation>Istanbul Tech Univ, Dept Elect &amp; Commun Engn, Istanbul, Turkey</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Investigating The Synchronization Of Cortical Neurons Using Brian Simulator</title>
  </titles>
  <publisher>Aperta</publisher>
  <publicationYear>2013</publicationYear>
  <dates>
    <date dateType="Issued">2013-01-01</date>
  </dates>
  <resourceType resourceTypeGeneral="Text">Conference paper</resourceType>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://aperta.ulakbim.gov.tr/record/16117</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.81043/aperta.16116</relatedIdentifier>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.81043/aperta.16117</relatedIdentifier>
  </relatedIdentifiers>
  <rightsList>
    <rights rightsURI="http://www.opendefinition.org/licenses/cc-by">Creative Commons Attribution</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">Looking 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.</description>
  </descriptions>
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