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<item>
  <id>05184647</id>
  <dt>j</dt>
  <an>05184647</an>
  <augroup>
    <au>Tak\'acs, B\'alint</au>
    <au>L\H orincz, Andr\'as</au>
  </augroup>
  <ti>Independent component analysis forms place cells in realistic robot simulations.</ti>
  <so>Neurocomputing 69, No. 10-12, 1249-1252 (2006).</so>
  <py>2005</py>
  <pu>Elsevier Science Publishers B.V., Amsterdam</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
    <ut>hippocampus</ut>
    <ut>place cell</ut>
    <ut>ICA</ut>
    <ut>khepera</ut>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1016/j.neucom.2005.12.086</li>
  </ligroup>
  <abgroup>
    <ab>Summary: It has been argued that the processing of sensory information in the entorhinal-hippocampal loop involves independent component analysis (ICA) on temporally concatenated inputs. Here, we demonstrate that ICA in a realistic robot simulation on a U-shaped track forms place fields similar to those found in rat experiments in vivo.</ab>
    <rv></rv>
  </abgroup>
</item>