A recurrent network model for range processing of the mustached bat

Author

Wang, Gang ; Haseyama, Miki ; Suga, Nobuo

Author_Institution

Dept. of Biol., Washington Univ., St. Louis, MO, USA

Volume

1

fYear

1999

fDate

1999

Firstpage

301

Abstract

A computational model, which simulates the neural processing of range information in the mustached bat is proposed. The internal states and the learning characteristics of the neural model as well as the mechanism for the processing of range information are explored. The neural model is capable of interpolation, so it can simulate the range information processing in bat´s auditory system. The following important properties are found in the trained network: (1) five types of hidden units are created, and they have their counterparts in the bat´s brain based on the similarity of the response patterns; (2) the hidden units show characteristics of plasticity; and (3) a dis-inhibition mechanism is found, which has not yet been found in neurophysiological study

Keywords

distance measurement; hearing; interpolation; neurophysiology; physiological models; recurrent neural nets; bat auditory system; dis-inhibition mechanism; interpolation; mustached bat; neural plasticity; neural processing; neurophysiology; range processing; recurrent neural network model; Acoustic pulses; Auditory system; Biological system modeling; Brain modeling; Computational modeling; Delay effects; Interpolation; Mechanical factors; Neurons; Pulse measurements;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks, 1999. IJCNN '99. International Joint Conference on

Conference_Location

Washington, DC

ISSN

1098-7576

Print_ISBN

0-7803-5529-6

Type

conf

DOI

10.1109/IJCNN.1999.831506

Filename

831506