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expyfun: Python experimental paradigm functions, version 2.0.0

Eric Larson; Daniel McCloy; Ross Maddox; Dean Pospisil


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.11640", 
  "title": "expyfun: Python experimental paradigm functions, version 2.0.0", 
  "issued": {
    "date-parts": [
      [
        2014, 
        4, 
        9
      ]
    ]
  }, 
  "abstract": "<p>expyfun is a python module designed for running audiovisual psychophysics experiments. Prominent features include integration with TDT audio hardware and EyeLink eye tracking hardware, audio synchronization with display refresh times, and a wide variety of helper scripts for stimulus generation, analysis and plotting.</p>\n\n<p>Summary of changes since first release (not an exhaustive list):</p>\n\n<ul>\n\t<li>dropped Pyo in favor of Pyglet audio</li>\n\t<li>expanded EyeLink support</li>\n\t<li>new stimulus creation, analysis and visualization methods, including convolve_hrtf, fit_sigmoid, and barplot</li>\n\t<li>some changes to the API of ExperimentController (most notably the replacement of flip_and_play with start_stimulus)</li>\n</ul>", 
  "author": [
    {
      "given": "", 
      "family": "Eric Larson"
    }, 
    {
      "given": "", 
      "family": "Daniel McCloy"
    }, 
    {
      "given": "", 
      "family": "Ross Maddox"
    }, 
    {
      "given": "", 
      "family": "Dean Pospisil"
    }
  ], 
  "version": "2.0.0", 
  "type": "article", 
  "id": "11640"
}
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