Presentation 2002/3/11
Human Face Recognition by an Association Cortex - Entorhinal Cortex - Hippocampal Formation Model
Mamoru YAMAZAKI, Junnichi NITTA, Kiyomi NAKAMURA,
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Abstract(in English) In regard to memorization and recollection process of visual stimuli, we proposed a neural network model, i.e. Association Cortex - Entorhinal Cortex - Hippocampal Formation Model (AEH model) and tested the recognition performance of AEH model using human faces. This model is constructed by incorporating neurophysiological knowledge into Jones's hypothesis. We introduced new neural net which performed a sparse code learning between long term memory layer in inferotemporal cortex and hippocampal formation in order to recollect the sparse code in hippocampal formation and to perform additional learning in recollection. We presented each human face to the AEH model twice and regarded that the AEH model recognized each face correctly if the AEH model learned the face the first time and recollected it the second time. We used 20 human faces to learn and recollect successively in our experiment. Recognition performance of the model was over 95 percent correct. Besides the model performed additional learning and reinforced memory in recollection.
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Keyword(in English) Face recognition / Learning / Memory / Recollection / Sparse code
Paper # NC2001-142
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Committee NC
Conference Date 2002/3/11(1days)
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Registration To Neurocomputing (NC)
Language JPN
Title (in Japanese) (See Japanese page)
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Title (in English) Human Face Recognition by an Association Cortex - Entorhinal Cortex - Hippocampal Formation Model
Sub Title (in English)
Keyword(1) Face recognition
Keyword(2) Learning
Keyword(3) Memory
Keyword(4) Recollection
Keyword(5) Sparse code
1st Author's Name Mamoru YAMAZAKI
1st Author's Affiliation Graduate School of Engineering Toyama Prefectural University()
2nd Author's Name Junnichi NITTA
2nd Author's Affiliation Graduate School of Engineering Toyama Prefectural University
3rd Author's Name Kiyomi NAKAMURA
3rd Author's Affiliation Graduate School of Engineering Toyama Prefectural University
Date 2002/3/11
Paper # NC2001-142
Volume (vol) vol.101
Number (no) 735
Page pp.pp.-
#Pages 8
Date of Issue