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    <responseDate>2026-10-14T21:09:06Z</responseDate>
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    <header >
    <identifier>10.57760/sciencedb.psych.00977</identifier>
    <datestamp>2026-08-03T19:51:20Z</datestamp>
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  <dc:date>2026-08-03</dc:date>
  <dc:title>Dataset for paper &amp;quot;Specialized and Diverse Visual Diets Sculpt Divergent Face‑Processing Mechanisms Aligned with the Human Brain&amp;quot;</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.psych.00977</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>This dataset contains the raw data associated with a paper investigating face representations in artificial neural networks (ANNs) and their correspondence with human brain representations. This study examines two ANNs, and for each network, five independently trained copies are provided, each initialized with a different random seed. In addition, untrained versions corresponding to the same five seeds are included. All model files and their training logs are available in the Model folder.The Rawdata folder contains two parts. The first, model_rawdata, includes the original test results reported in the paper, provided as CSV files. The second, rsa_rawdata, &amp;nbsp;contains the results of a representational similarity analysis (RSA) comparing model representations with human fMRI representations.The Stimuli folder includes lists of file names for all test images used in the study (to respect the licenses of public datasets, we do not redistribute those images; only the filenames used in the paper are provided). The folder also contains a small set of stimuli generated by the authors.The Code folder contains the code used for the analyses reported in the paper, including model training and testing code (Python 3.12.11, PyTorch 2.8.0) and the code for the fMRI RSA analysis (Nilearn 0.13.1, rsatoolbox 0.3.2).</dc:description>
  <dc:subject>face recognition; artificial neural networks; face‑selective</dc:subject>
  <dc:creator>Xiqian Lu</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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