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        <identifier>oai:www.ideals.illinois.edu:2142/88189</identifier>
        <datestamp>2023-07-11</datestamp>
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        <thesis xmlns="http://www.ndltd.org/standards/metadata/etdms/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:dc="http://purl.org/dc/elements/1.1/" xsi:schemaLocation="http://www.ndltd.org/standards/metadata/etdms/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdms11.xsd http://purl.org/dc/elements/1.1/ http://www.ndltd.org/standards/metadata/etdms/1.1/etdmsdc.xsd">
          <dc:contributor>DeVille, Lee</dc:contributor>
          <dc:contributor>Rapti, Zoi</dc:contributor>
          <dc:contributor>Kirkpatrick, Kay L</dc:contributor>
          <dc:contributor>Zharnitsky, Vadim</dc:contributor>
          <dc:creator>Berning, Stephen R</dc:creator>
          <dc:date>2015-09-29T20:49:56Z</dc:date>
          <dc:date>2015-09-29T20:49:56Z</dc:date>
          <dc:date>2017-09-30T09:15:18Z</dc:date>
          <dc:date>2015-08</dc:date>
          <dc:date>2015-07-16</dc:date>
          <dc:description>We consider here an extension and generalization of the stochastic
neuronal network model developed by DeVille et al.; their model
corresponded to an all-to-all network of discretized
integrate-and-fire excitatory neurons where synapses are
failure-prone. It was shown that this model exhibits different
metastable phases of asynchronous and synchronous behavior, since the
model limits on a mean-field deterministic system with multiple
attractors.  Our work investigates adding inhibition into the
model. The new model exhibits the same metastable phases, but also
exhibits new non-monotonic behavior that was not seen in the DeVille
et al. model. The techniques used by DeVille et al. for finding the
mean-field limit are not suitable for this new model. We explore
early attempts at obtaining a new mean-field deterministic system that
would give us an understanding of the behavior seen in the new
model. After redefining the process we do find a mean-field
deterministic system that the model limits on, and we investigate the
behavior of the new model studying the mean-field system.</dc:description>
          <dc:description>Submission published under a 24 month embargo labeled 'U of I only', the embargo will last until 2017-08-01</dc:description>
          <dc:date>2015-8</dc:date>
          <dc:description>The student, Stephen Berning, accepted the attached license on 2015-07-15 at 01:11.</dc:description>
          <dc:description>The student, Stephen Berning, submitted this Dissertation for approval on 2015-07-15 at 01:27.</dc:description>
          <dc:description>This Dissertation was approved for publication on 2015-07-16 at 13:11.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #8443 on 2015-09-29 at 14:59:30</dc:description>
          <dc:description>Made available in DSpace on 2015-09-29T20:49:56Z (GMT). No. of bitstreams: 2
BERNING-DISSERTATION-2015.pdf: 1635741 bytes, checksum: da1fdb31589b35b5e007f82c475a8d3f (MD5)
LICENSE.txt: 4212 bytes, checksum: 0012e51ab1906fe2020270b5f192ac22 (MD5)
  Previous issue date: 2015-07-16</dc:description>
          <dc:description>Embargo set by: Seth Robbins for item 89469
Lift date: 2017-09-29T20:50:34Z
Reason: Author requested U of Illinois access only (OA after 2yrs) in Vireo ETD system</dc:description>
          <dc:description>U of I Only Restriction Lifted for Item 89469 on 2017-09-30T09:15:18Z.</dc:description>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>http://hdl.handle.net/2142/88189</dc:identifier>
          <dc:language>en</dc:language>
          <dc:rights>Copyright 2015 Stephen Berning</dc:rights>
          <dc:subject>neural network</dc:subject>
          <dc:subject>neuronal network</dc:subject>
          <dc:subject>inhibitory neurons</dc:subject>
          <dc:subject>inhibition</dc:subject>
          <dc:subject>non-monotonic</dc:subject>
          <dc:subject>synchrony</dc:subject>
          <dc:subject>mean-field analysis</dc:subject>
          <dc:subject>integrate-and-fire</dc:subject>
          <dc:subject>limit theorem</dc:subject>
          <dc:title>Dynamics of a fully stochastic discretized neuronal model with excitatory and inhibitory neurons</dc:title>
          <dc:type>text</dc:type>
          <dc:type>text</dc:type>
          <degree>
            <department>Mathematics</department>
            <discipline>Mathematics</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <level>Dissertation</level>
            <name>Ph.D.</name>
          </degree>
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