Knowledge matching model with dynamic weights based on the primary visual cortex

Author

Bo, Yu ; Liming, Zhang

Author_Institution

Dept. of Electron. Eng., Fudan Univ., Shanghai, China

Volume

1

fYear

1999

fDate

1999

Firstpage

164

Abstract

Even in the field of biology, the principle of how knowledge can be efficiently utilized in a neural network has not been solved perfectly. This paper discusses a new model based on the structure of the V1 area in biological visual system for knowledge matching. The contour of the object is stored as knowledge in the form of chain code. During the matching process, the chain code is presented to control the dynamics of the neuron in a V1-similar structure neural network. Cooperating with the dynamic weights, active neurons will reconstruct the object´s contour at the place where the object is in the visual field. This model is an exploration of how knowledge is represented and utilized in the brain

Keywords

image reconstruction; knowledge representation; neural nets; neurophysiology; pattern matching; physiological models; vision; V1 area; chain code; contour reconstruction; dynamic weights; knowledge matching model; knowledge represention; neural network; primary visual cortex; Biological information theory; Biological neural networks; Biological system modeling; Brain modeling; Computational biology; Electronic mail; Knowledge engineering; Neurons; Process control; Visual system;

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.1999.831477

Filename

831477