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    <identifier>10.57760/sciencedb.j00052.00224</identifier>
    <datestamp>2023-12-25T15:30:52Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2023-12-25</dc:date>
  <dc:title>Reinforcement Learning Based on Invisible Feedback: Sensitive Behavioral Performance and Insensitive Electrophysiological Response</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.j00052.00224</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>Using an international 10-20 system extension with 64 conductive caps, EEG data is recorded using the Brain Products system (BrainAmp MR amplifier). The bandpass of the filter is 0.05-100Hz, and the sampling frequency is 1000Hz/conduction. When recording, use FCz as the reference electrode and AFz as the ground. At the same time, record the horizontal eye electrical activity (HEOG) 1.5cm outside the left eye and the vertical eye electrical activity (VEOG) 1.5cm below the right eye. The impedance between the scalp and the electrode is less than 10k &amp;Omega;.&amp;nbsp;</dc:description>
  <dc:subject>Reinforcement learning; Invisible feedback; Continuous flash suppression paradigm (CFS)</dc:subject>
  <dc:creator>liu dan dan</dc:creator>
  <dc:creator>Jia Shiwei</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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