DocumentCode
2623120
Title
A neural network for attentional spotlight
Author
Leow, Wee Kheng ; Miikkulainen, Risto
Author_Institution
Dept. of Comput. Sci., Texas Univ., Austin, TX, USA
fYear
1991
fDate
18-21 Nov 1991
Firstpage
436
Abstract
The architecture and dynamics of a neural network that generates an attentional spotlight are discussed. The network has three layers. The desired position of the spotlight is indicated by activating one of the input units. The activity of the unit represents the desired size of the spotlight. A shunting feedback network serves as the output layer and produces a spotlight of the desired shape. The spotlight has a fixed maximum size (determined by network parameters) which corresponds to the largest amount of information that a vision system can process in parallel. The spotlight generation network was simulated numerically using a forward Euler method
Keywords
computer vision; lighting; neural nets; architecture; attentional spotlight position generation; computer vision; dynamics; forward Euler method; neural network; shunting feedback network; Biological information theory; Computational modeling; Encoding; Hardware; Humans; Neural networks; Neurons; Psychology; Space technology; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1991. 1991 IEEE International Joint Conference on
Print_ISBN
0-7803-0227-3
Type
conf
DOI
10.1109/IJCNN.1991.170440
Filename
170440
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