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NIMH MonkeyLogic: Behavioral control and data acquisition in MATLAB.

Jaewon Hwang1, Andrew R Mitz1, Elisabeth A Murray1

  • 1Section on Neurobiology of Learning and Memory, Laboratory of Neuropsychology, National Institute of Mental Health, National Institutes of Health, Bethesda, MD 20892, USA.

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|May 10, 2019
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Summary
This summary is machine-generated.

NIMH MonkeyLogic is a newly rewritten software for neurobehavioral studies, offering enhanced speed and graphics for precise experimental control. This free tool improves data transfer and reduces implementation costs for researchers.

Keywords:
CognitionHumanMonkeyNeurophysiologyPsychophysicsSoftware

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Area of Science:

  • Neuroscience
  • Computational Neuroscience
  • Behavioral Science

Background:

  • Computerized control is crucial for neurobehavioral studies, demanding high precision.
  • Existing software like MonkeyLogic faced performance issues and obsolescence.
  • There is a need for flexible, high-performance software for experimental control.

Purpose of the Study:

  • To redesign and rewrite MonkeyLogic for improved performance and compatibility.
  • To address limitations in data transfer speed and graphics capabilities.
  • To provide an updated, powerful tool for neurobehavioral research.

Main Methods:

  • Complete redesign and rewrite of MonkeyLogic using a 64-bit MATLAB environment.
  • Replacement of hardware control layers with custom NIMH DAQ Toolbox and MonkeyLogic Graphics Library.
  • Development of a new real-time closed-loop programming model.

Main Results:

  • NIMH MonkeyLogic offers dramatic speed enhancements and improved graphics.
  • The new version resolves undesirable delays in data transfers.
  • Enhanced temporal precision and expanded input device options are provided.

Conclusions:

  • NIMH MonkeyLogic is a versatile, powerful, and up-to-date tool for diverse experimental control.
  • The software is backward compatible with existing scripts, ensuring ease of adoption.
  • Freely available, NIMH MonkeyLogic reduces implementation costs and hardware requirements.