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A neural net model for masking phenomena
- Source :
- The Bulletin of Mathematical Biophysics. 29:227-232
- Publication Year :
- 1967
- Publisher :
- Springer Science and Business Media LLC, 1967.
-
Abstract
- Some aspects of masking phenomena are considered in terms of the simplest possible model of two-factor neural elements. The effect of a number of variables can be accounted for, but the introduction of an internuncial element results in a masking function which need not be symmetric about zero delay interval. As an illustration, the results for a special case are compared with available data. In general, such a model results in a masking function which depends on the intensity, area, and duration of the stimuli, as well as on the temporal and spatial separation between them.
- Subjects :
- Nerve Endings
Pharmacology
Artificial neural network
Computer science
General Mathematics
General Neuroscience
Models, Neurological
Immunology
General Medicine
Masking (Electronic Health Record)
General Biochemistry, Genetics and Molecular Biology
Computational Theory and Mathematics
Nerve Net
Special case
General Agricultural and Biological Sciences
Algorithm
Mathematics
General Environmental Science
Subjects
Details
- ISSN :
- 15229602 and 00074985
- Volume :
- 29
- Database :
- OpenAIRE
- Journal :
- The Bulletin of Mathematical Biophysics
- Accession number :
- edsair.doi.dedup.....3493fb57d35f94e106fdb4d1f17e6da9
- Full Text :
- https://doi.org/10.1007/bf02476896