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    <identifier>10.57760/sciencedb.33699</identifier>
    <datestamp>2025-12-18T11:09:22Z</datestamp>
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  <dc:date>2025-12-18</dc:date>
  <dc:title>A neurocomputational framework of cross-context generalization</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.33699</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The data provided here are intended to allow users to dive right into different levels of the main analyses of the paper &amp;quot; A neurocomputational framework of cross-context generalization: dynamic representational geometry in high-level visual cortex and dual coding in vmPFC&amp;quot;The scripts required for the main analysis and results are available on GitHub at: https://github.com/BinchengWEN/A-neurocomputational-framework-of-cross-context-generalization.The data required for the main analysis is located in the ./data folder. The processed data used to generate the results figures is available in the ./figure_results folder.</dc:description>
  <dc:subject>Object recognition; Context-dependent task; Modulation of Representational geometry; Ventral temporal cortex; Artificial neural networks; fMRI; MEG</dc:subject>
  <dc:creator>Bincheng Wen</dc:creator>
  <dc:creator>Chuncheng Zhang</dc:creator>
  <dc:creator>Changde Du</dc:creator>
  <dc:creator>Le Chang</dc:creator>
  <dc:creator>Huiguang He</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by-nc/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
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