DocumentCode :
3573359
Title :
Consecutive face recognition by association cortex-entorhinal cortex-hippocampal formation modal
Author :
Nakamura, K. ; Nitta, J. ; Takano, H. ; Yamazaki, M.
Author_Institution :
Graduate Sch. of Eng., Toyama Prefectural Univ., Japan
Volume :
3
fYear :
2003
Firstpage :
1649
Abstract :
In this paper, we propose a neural network model which incorporates neurophysiological knowledge into Jones´s hypothesis, i.e., the association cortex - entorhinal cortex - hippocampal formation model (AEH model). In this model, the inhibitory action from the inferotemporal cortex to parietal cortex has a gating role for activation of the reverberatory closed circuit between the entorhinal cortex and hippocampal formation. The successive recognition performance of the AEH model was tested using human face images. In the experiments, face images were presented to the AEH model twice. Twenty human faces were tested to learn and recollect successively either in a series or in a block. In both tests, the recognition performance of the AEH model was nearly 100 percent. In the memory consolidation experiments, when face images were presented five times in series, potentiation of long-term memory occurred without any distortions.
Keywords :
brain models; face recognition; neural nets; neurophysiology; vision; AEH model; Jones hypothesis; association cortex-entorhinal cortex-hippocampal formation model; face recognition; human faces; inferotemporal cortex; neural network model; neurophysiology; parietal cortex; reverberatory closed circuit activation; Biological neural networks; Brain modeling; Circuit testing; Face recognition; Hafnium; Humans; Information processing; Neurons; Shape; Virtual colonoscopy;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2003. Proceedings of the International Joint Conference on
ISSN :
1098-7576
Print_ISBN :
0-7803-7898-9
Type :
conf
DOI :
10.1109/IJCNN.2003.1223654
Filename :
1223654
Link To Document :
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