Neural Model Approach to the Basic Law of Psychophysics

Authors:
Teruya Yamanishi;Masashi Nosaka;Haruhiko Nishimura;Kazumasa Ohkuma
Affiliations:
Department of Management Information Science, Fukui Institute of Technology, Gakuen, Fukui, Japan 910-8505;Department of Management Information Science, Fukui Institute of Technology, Gakuen, Fukui, Japan 910-8505;Graduate School of Applied Informatics, University of Hyogo, Chuo-ku, Kobe, Japan 650-0044;Department of Management Information Science, Fukui Institute of Technology, Gakuen, Fukui, Japan 910-8505
Venue:
Neural Processing Letters
Year:
2008

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Abstract

Stevens' law, which is one of the well-known psychophysicallaws, suggests that the perceived intensity R of abiological system is proportional to the power of the stimulusstrength I, R ∝ In. Inorder to realize a self-sustainable system that adapts to changesof the environment, it is important to understand the neuralmechanism behind this law. Here, we propose a new neural schemebased on the shunting short-term memory (STM) model with thephysiological properties of the nervous system, and examine therelation between the neural system and Stevens' law throughcomputer simulations of the firing rate f with respect tothe stimulus strength I. The simulations showed that thefeedback-inputting connectivity plays an important role inreproducing the n 1 and n