DocumentCode
2253713
Title
A formulation of receptive field type input layer for TAM network using Gabor function
Author
Hayashi, Isao ; Maeda, Hiromasa ; Williamson, James R.
Author_Institution
Dept. of Informatics, Kansai Univ., Osaka, Japan
Volume
1
fYear
2004
fDate
25-29 July 2004
Firstpage
427
Abstract
The TAM (topographic attentive mapping) network is a biologically-motivated neural network. Gabor function is a model for receptive field. We formulate a new input layer using Gabor function for TAM network to realize receptive field of human visual cortex.
Keywords
neural nets; Gabor function; TAM network; biologically-motivated neural network; human visual cortex; receptive field type input layer; topographic attentive mapping network; Brain modeling; Convolution; Electronic mail; Filtering; Frequency; Gabor filters; Humans; Informatics; Information science; Missiles;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 2004. Proceedings. 2004 IEEE International Conference on
ISSN
1098-7584
Print_ISBN
0-7803-8353-2
Type
conf
DOI
10.1109/FUZZY.2004.1375764
Filename
1375764
Link To Document