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COCOHA Matlab Toolbox

Wong, Daniel D.E.; Hjortkjær, Jens; Ceolini, Enea; Cheveigné, Alain de


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{
  "publisher": "Zenodo", 
  "DOI": "10.5281/zenodo.1198430", 
  "title": "COCOHA Matlab Toolbox", 
  "issued": {
    "date-parts": [
      [
        2018, 
        3, 
        14
      ]
    ]
  }, 
  "abstract": "<p>The COCOHA Matlab Toolbox is a coding framework internally shared within the <a href=\"https://cocoha.org/\">COCOHA</a> project.&nbsp;It was written to standardize MATLAB data storage and decoding analysis for the project.&nbsp;The&nbsp;<a href=\"https://gitlab.com/cocoha/cocoha-matlab-toolbox/blob/master/README\">data structure</a>&nbsp;is based loosely on FieldTrip&rsquo;s, but allows for the storage of multiple data&nbsp;sources (e.g. audio/EEG) and provides flexibility in defining dimensions (e.g. channel, time, frequency, rate, scale, etc). Moreover, function calls that modify the contents of the data structure will append their user-defined parameters to the data.cfg cell array. This allows for&nbsp;traceability of results.</p>\n\n<p>The functions in the toolbox allow for external functions to operate on the data structure in a robust and standardized way.</p>\n\n<p>The MATLAB components are designed for offline prototyping of decoding strategies. On the other&nbsp;hand, realtime processing is primarily implemented with OpenViBE Python scripts. OpenViBE is used as&nbsp;it provides drift correction, and its support for object-oriented programming allows better&nbsp;modularity.</p>\n\n<p>The toolbox&nbsp;is not designed to replace FieldTrip for more traditional M/EEG analyses, but rather as a means to supplement such analyses with a&nbsp;support for decoding models. As such FieldTrip import capability is provided (and export capability is still pending).</p>", 
  "author": [
    {
      "family": "Wong, Daniel D.E."
    }, 
    {
      "family": "Hjortkj\u00e6r, Jens"
    }, 
    {
      "family": "Ceolini, Enea"
    }, 
    {
      "family": "Cheveign\u00e9, Alain de"
    }
  ], 
  "version": "0.5.0", 
  "type": "article", 
  "id": "1198430"
}
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