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Controlling behavioral experiments with a new programming language (SORCA) for microcomputer systems.

H B Brinkhus, H Klinkenborg, R Estorf

    Computer Programs in Biomedicine
    |August 1, 1983
    PubMed
    Summary
    This summary is machine-generated.

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    A new programming language, SORCA, enables real-time control of behavioral experiments on Z80 microcomputers. This system efficiently manages hardware inputs/outputs for precise experimental timing and data collection.

    Area of Science:

    • Computer Science
    • Neuroscience
    • Psychology

    Background:

    • Real-time control systems are crucial for precise behavioral experiment execution.
    • Existing programming languages may lack the specific functionalities required for intricate experimental designs.
    • Z80-based microcomputer systems with CP/M operating system are widely used in certain research settings.

    Purpose of the Study:

    • To introduce SORCA, a novel programming language designed for real-time control of behavioral experiments.
    • To detail the capabilities of the SORCA compiler and its suitability for Z80 microcomputers.
    • To demonstrate SORCA's utility in managing hardware interactions, timing, and data acquisition for scientific research.

    Main Methods:

    • Development of the SORCA programming language and its compiler for Z80/CP/M systems.

    Related Experiment Videos

  • Implementation of cyclic sampling of 8 binary hardware input lines for stimulus detection.
  • Utilization of 8 cyclically updated binary hardware output lines for experimental control.
  • Integration of basic logic functions, counters, timers, and complex functions within the language.
  • Support for constant, step function, and random distribution parameters.
  • Capability for simultaneous task execution and automated result measurement/printing.

    • Main Results:

    • The SORCA language and compiler are successfully implemented on Z80 microcomputer systems.
    • SORCA facilitates real-time control of experiments with a typical reaction time of 500 microseconds to 1 ms.
    • The system supports simultaneous tasks and versatile parameter handling (constants, step functions, random distributions).
    • Hardware input/output lines are effectively utilized for stimulus presentation and response recording.
    • Experimental results, such as reaction counts and latencies, can be automatically measured and reported.

    Conclusions:

    • SORCA provides an effective and easy-to-learn programming solution for real-time behavioral experiment control.
    • The language's features enable precise timing, complex function integration, and efficient data handling.
    • SORCA is adaptable for various control purposes beyond behavioral experiments, offering broad applicability.