DocumentCode :
423553
Title :
Neural coding model of perceptual reconstruction using the morphoelectrotonic transform theory
Author :
Watanabe, Norifumi ; Ishizaki, Suguru
Author_Institution :
Graduate Sch. of Media & Governance, Keio Univ., Kanagawa, Japan
Volume :
1
fYear :
2004
fDate :
25-29 July 2004
Lastpage :
332
Abstract :
We construct the model of the perceptual reconstruction from input visual information. The relations between objects are simulated from the correlation of input pulse and associative memory model in this model. And, the relation and the bind between objects are characterized by the morphoelectrotonic transform based on the experimental data of neurophysiology. The associative memory model is composed of the synchronous associative memory network, and extracts the relations between objects by the phase obtained from input pulse sequence. The binding of the object is reconstructed the relation of the associative memory, and the correlation of the modality is learned.
Keywords :
image reconstruction; neural nets; associative memory model; input pulse sequence; morphoelectrotonic transform theory; neural coding model; perceptual reconstruction; synchronous associative memory network; Associative memory; Cognition; Electronic mail; Hippocampus; Information processing; Neurons; Neurophysiology; Parallel processing; Rhythm; Shape;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-8359-1
Type :
conf
DOI :
10.1109/IJCNN.2004.1379923
Filename :
1379923
Link To Document :
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