<?xml version="1.0" encoding="UTF-8"?>
<rss xmlns:creativeCommons="http://backend.userland.com/creativeCommonsRssModule" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:prism="http://prismstandard.org/namespaces/1.2/basic/" version="2.0" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:media="http://search.yahoo.com/mrss/">
  <channel>
    <title>Nature Precedings - Hamid Reza Noori</title>
    <link>http://precedings.nature.com/users/a9f0d0ca3472c18ebda7d87cc2caa824/</link>
    <description>Documents posted by Hamid Reza Noori</description>
    <dc:publisher>Nature Publishing Group</dc:publisher>
    <dc:language>en</dc:language>
    <prism:publicationName>Nature Precedings</prism:publicationName>
    <image>
      <title>Nature Precedings</title>
      <url>http://precedings.nature.com/images/header_logo.gif</url>
      <link>http://precedings.nature.com</link>
    </image>
    <atom:link type="application/rss+xml" rel="self" href="http://precedings.nature.com/users/a9f0d0ca3472c18ebda7d87cc2caa824/feed"/>
    <item>
      <title>The Predominance of Electric Transport in Synaptic Transmission</title>
      <link>http://precedings.nature.com/documents/2304/version/2</link>
      <description>The quantitative description of the motion of neurotransmitters in the synaptic cleft appears to be one of the most difficult problems in the modeling of synapses. Here we show in contradiction to the common view, that this process is merely governed by electric transport than diffusion forces.</description>
      <guid>http://precedings.nature.com/documents/2304/version/2</guid>
      <pubDate>Mon, 22 Jun 2009 10:19:39 UTC</pubDate>
      <dc:title>The Predominance of Electric Transport in Synaptic Transmission</dc:title>
      <dc:identifier>hdl:10101/npre.2009.2304.2</dc:identifier>
      <dc:date>2009-06-22</dc:date>
      <dc:creator>Hamid Reza Noori</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-06-22T10:19:39Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Neuroscience</prism:section>
      <media:thumbnail url="http://precedings.nature.com/documents/2304/version/2/files/npre20092304-2.pdf.thumb.png"/>
      <creativeCommons:license>http://creativecommons.org/licenses/by/3.0/</creativeCommons:license>
    </item>
    <item>
      <title>Averaging Transformations of Synaptic Potentials on Networks</title>
      <link>http://precedings.nature.com/documents/3348/version/1</link>
      <description>The problem of the transformation of microscopic information to the macroscopic level is an intriguing challenge in computational neuroscience, but also of general mathematical importance. Here, a phenomenological mathematical model is introduced that simulates the internal information processing of brain compartments. Synaptic potentials are integrated over small number of realistically coupled neurons to obtain macroscopic quantities. The striatal complex, an important part of the basal ganglia circuit in the brain for regulating motor activity, has been investigated as an example for the validation of the model.</description>
      <guid>http://precedings.nature.com/documents/3348/version/1</guid>
      <pubDate>Fri, 19 Jun 2009 14:06:35 UTC</pubDate>
      <dc:title>Averaging Transformations of Synaptic Potentials on Networks</dc:title>
      <dc:identifier>hdl:10101/npre.2009.3348.1</dc:identifier>
      <dc:date>2009-06-19</dc:date>
      <dc:creator>Hamid Reza Noori</dc:creator>
      <prism:publicationName>Nature Precedings</prism:publicationName>
      <prism:publicationDate>2009-06-19T14:06:35Z</prism:publicationDate>
      <prism:category>Manuscript</prism:category>
      <prism:section>Neuroscience</prism:section>
      <media:thumbnail url="http://precedings.nature.com/documents/3348/version/1/files/npre20093348-1.pdf.thumb.png"/>
      <creativeCommons:license>http://creativecommons.org/licenses/by/3.0/</creativeCommons:license>
    </item>
  </channel>
</rss>
