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COMPASS: An Open-Source, General-Purpose Software Toolkit for Computational Psychiatry.

Ali Yousefi1,2, Angelique C Paulk3, Ishita Basu1

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Frontiers in Neuroscience
|January 29, 2019
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Summary
This summary is machine-generated.

Computational psychiatry uses mathematical modeling to understand mental disorders. The new COMPASS toolbox simplifies complex signal processing for broader adoption in research.

Keywords:
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Area of Science:

  • Neuroscience
  • Computational Psychiatry
  • Psychology

Background:

  • Computational psychiatry offers insights into mental disorders but requires advanced skills.
  • Existing tools struggle with non-Gaussian and complex biological/behavioral data distributions.

Purpose of the Study:

  • Introduce the Computational Psychiatry Adaptive State-Space (COMPASS) toolbox.
  • Simplify computational modeling for analyzing psychophysical task data.

Main Methods:

  • Developed an open-source MATLAB toolbox (COMPASS).
  • Integrated functions for diverse signal distributions (continuous, binary, censored).
  • Enabled user-friendly application of various computational behavioral models.

Main Results:

  • COMPASS successfully replicated and improved upon existing computational analyses.
  • Demonstrated effectiveness in handling censored data compared to naive methods.
  • Validated the toolbox's flexibility and ease of use.

Conclusions:

  • COMPASS facilitates the integration of complex signals in computational psychiatry.
  • The toolbox lowers the barrier for applying advanced computational models.
  • COMPASS is expected to accelerate computational modeling in psychiatric neuroscience research.