Presentation 2018-10-22
A study of functional role in the temporal pole based on a semantic memory learning model
Tatsuhiro Ideta, Takeshi Kohama,
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Abstract(in Japanese) (See Japanese page)
Abstract(in English) In order to elucidate the pathophysiology of semantic dementia (SD), we developed a semantic-space learning model which is constructed by integrating visual and language information using deep learning techniques. Since the performances of semantic related tasks of SD patients decrease with the progression of symptoms, we conducted a simulation experiment of the proposed model by learning two types of semantic related tasks. The results show that the performances of the proposed model sufficiently accurate, indicating that it could become a model of SD patients.
Keyword(in Japanese) (See Japanese page)
Keyword(in English) Semantic dementia / Temporal pole / Deep learning / Semantic memory learning / Cognitive task
Paper # HIP2018-57
Date of Issue 2018-10-15 (HIP)

Conference Information
Committee HIP
Conference Date 2018/10/22(2days)
Place (in Japanese) (See Japanese page)
Place (in English) Kyoto Terrsa
Topics (in Japanese) (See Japanese page)
Topics (in English) Eye Movement (including Accommodation and Pupil), Spatial Perception (Depth Perception, Motion Perception, etc.), etc.
Chair Miyuki Kamachi(Kogakuin Univ.)
Vice Chair Shuichi Sakamoto(Tohoku Univ.) / Yuji Wada(Ritsumeikan Univ.)
Secretary Shuichi Sakamoto(Univ. of Tsukuba) / Yuji Wada(NICT)
Assistant Atsushi Wada(NICT) / Hidetoshi Kanaya(Ritsumeikan Univ.) / Yuki Yamada(Kyushu Univ.)

Paper Information
Registration To Technical Committee on Human Information Processing
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) A study of functional role in the temporal pole based on a semantic memory learning model
Sub Title (in English)
Keyword(1) Semantic dementia
Keyword(2) Temporal pole
Keyword(3) Deep learning
Keyword(4) Semantic memory learning
Keyword(5) Cognitive task
1st Author's Name Tatsuhiro Ideta
1st Author's Affiliation Kindai University(KU)
2nd Author's Name Takeshi Kohama
2nd Author's Affiliation Kindai University(KU)
Date 2018-10-22
Paper # HIP2018-57
Volume (vol) vol.118
Number (no) HIP-262
Page pp.pp.5-8(HIP),
#Pages 4
Date of Issue 2018-10-15 (HIP)