Journal article
Controlling behavioral experiments with a new programming language (SORCA) for microcomputer systems
Computer programs in biomedicine, v 17(1), pp 137-144
1983
PMID: 6689290
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
A new programming language SORCA has been defined and a compiler has been written for Z80-based microcomputer systems with CP/M operating system. The language was developed to control behavioral experiments by external stimuli and by time schedule in real-time. Eight binary hardware input lines are sampled cyclically by the computer and can be used to sense switches, level detectors and other binary information, while 8 binary hardware output lines, that are cyclically updated, can be used to control relays, lamps, generate tones or for other purposes. The typical reaction time (cycle time) of a SORCA-program is 500 μs to 1 ms. All functions can be programmed as often as necessary. Included are the basic logic functions, counters, timers, majority gates and other complex functions. Parameters can be given as constants or as a result of a step function or of a random process (with Gaussian or equal distribution). Several tasks can be performed simultaneously. In addition, results of an experiment (e.g., number of reactions or latencies) can be measured and printed out on request or automatically. The language is easy to learn and can also be used for many other control purposes.
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Details
- Title
- Controlling behavioral experiments with a new programming language (SORCA) for microcomputer systems
- Creators
- H.B Brinkhus - Heidelberg UniversityH Klinkenborg - Heidelberg UniversityR Estorf - Heidelberg UniversityR Weber - Heidelberg University
- Publication Details
- Computer programs in biomedicine, v 17(1), pp 137-144
- Publisher
- Elsevier
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Information Science
- Web of Science ID
- WOS:A1983RV85900015
- Scopus ID
- 2-s2.0-0021023536
- Other Identifier
- 991019238629504721
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InCites Highlights
Data related to this publication, from InCites Benchmarking & Analytics tool:
- Web of Science research areas
- Computer Science, Interdisciplinary Applications
- Engineering, Biomedical