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How neural system integrates multi-modal sensory information is my research interest. To understand the mechanisms of sensory neural systems, we take neurophysiology, psychology, and computational approaches. |
Takahisa Sanada
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Research Interests 【 display / non-display 】
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Visual processing
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System neuroscience
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Deep convolutional neural network
Graduating School 【 display / non-display 】
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1995.04-1999.03
Tokai University Faculty of Development Engineering University Graduated Japan
Graduate School 【 display / non-display 】
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2001.04-2006.03
Osaka University Graduate School, Division of Engineering Science Doctor's Course Completed Japan
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1999.04-2001.03
The University of Electro-Communications Graduate School, Division of Information Systems Master's Course Completed Japan
Campus Career 【 display / non-display 】
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2020.04-
Iwate Prefectural University Faculty of Software and Information Science Associate Professor
External Career 【 display / non-display 】
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2017.04-2020.03
Kansai Medical University Department of Physiology Assistant Professor
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2013.04-2017.03
National Institute for Physiological Sciences, National Institutes of Natural Sciences Division of Sensory and Cognitive Information Project assistant professor
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2007.07-2013.03
University of Rochester Center for Visual Science Researcher
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2006.04-2007.06
Osaka University Frontier biosciences Researcher
Academic Society Affiliations 【 display / non-display 】
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2020.03-
Vision Society of Japan Japan
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2020.01-
Japan Neural Network Society Japan
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2007.03-
Asia-Pacific Conference on Vision Japan
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2004.04-
Society for Neuroscience United States
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2001.04-
Vision Science Forum Japan
Research Areas 【 display / non-display 】
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Life Science / Neuroscience-general
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Humanities & Social Sciences / Cognitive science
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Life Science / Basic brain sciences
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Informatics / Intelligent informatics
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Informatics / Kansei informatics
Papers 【 display / non-display 】
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Reconstructed spatial receptive field structures by reverse correlation technique explains the visual feature selectivity of units in deep convolutional neural networks
Yoshiyuki R Shiraishi, Hiromichi Sato, Takahisa M Sanada, Tomoyuki Naito
arXiv 2021.03
Research paper (scientific journal)
Joint Work English
DOI: https://doi.org/10.48550/arXiv.2103.02587
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Neural representation of motion-in-depth in area MT
Sanada T.,M., DeAngelis G., C.,
Journal of Neuroscience 2014.11
Research paper (scientific journal)
Joint Work English
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Effect on tuning properties to 1st- and 2nd-order stimuli by inactivation of internal units in Deep Convolutional Neural Network (DCNN)
Anqi Wang, Maryu Horyozaki, Takahisa M. Sanada
IEICE Technical Report 123 ( 233 ) 6 - 11 2023.10
Research paper (research society, symposium materials, etc.)
Joint Work Japanese
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深層畳み込みニューラルネットワーク(DCNN)内部ユニットの2次刺激に対する選択性
ジャマルシャー,白石祥之, 内藤智之, 眞田尚久
信学技報 122 ( 195 ) 16 - 19 2022.09
Research paper (research society, symposium materials, etc.)
Single Work English
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Comparison of the color selectivity of macaque V4 neurons in different color spaces.
Sanada T. M., Namima T., Komatsu H
Journal of Neurophysiology 2016.11
Research paper (scientific journal)
Joint Work English
Grant-in-Aid for Scientific Research 【 display / non-display 】
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Grant-in-Aid for Scientific Research(C)
2020.04-2023.03 -
Grant-in-Aid for Scientific Research on Innovative Areas
2018.04-2020.03 -
Grant-in-Aid for Scientific Research(C)
2016.04-2019.03 -
Grant-in-Aid for Scientific Research on Innovative Areas
2016.04-2018.03
Research funds from foundations or university projects 【 display / non-display 】
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JNNS30 Commemorative Research Grant
2023.04-2024.03
Position in the academic society 【 display / non-display 】
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2016.04-2020.03
Vision Science Forum