Role of mechanoreceptive afferents in two-point discrimination: A simulation based modeling study
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Dosyalar
Tarih
2018
Yazarlar
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
Two-point discrimination test is used to measure the capacity of human for detecting two stimuli which are simultaneously applied on different skin sites close to each other. The results of this test depends on the innervation density of cutaneous mechanoreceptive afferents. In literature, it is suggested that two-point discrimination capacity depends on the functioning of slowly adapting mechanoreceptors. In this study, responses of mechanoreceptive afferents on the distal phalange of a monkey were simulated with one or two point stimulation on TouchSim simulation tool. Simulated responses were used to train a neural network to discriminate one and two point stimulation conditions. In order to assess the roles of different types of mechanoreceptive afferents, subpopulations including one or two types of afferents were isolated from the population and tested with the neural network. In contrary to literature, results suggest that the information delivered by rapidly-adapting type I (RA) afferents is superior to information delivered by slowly-adapting type I (SA1) and rapidly-adapting type II (PC) afferents in a two-point discrimination task. On the other hand, in order to successfully detect two-point stimulation, information from both RA and SA1 is necessary. Psychophysical experiments are suggested to test this results in human subjects. © 2018 IEEE.
Açıklama
4th Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018 -- 18 April 2018 through 19 April 2018 -- -- 137380
Anahtar Kelimeler
mechanoreceptive afferents, touch, two-point discrimination test, Computer science, Computers, Electronics engineering, Electronics industry, Discrimination tasks, Discrimination tests, mechanoreceptive afferents, Mechanoreceptors, Psychophysical experiments, Simulated response, Simulation-based modeling, touch, Biomedical engineering
Kaynak
2018 Electric Electronics, Computer Science, Biomedical Engineerings' Meeting, EBBT 2018
