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All Technical Committee Conferences (Searched in: All Years)
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Search Results: Conference Papers |
Conference Papers (Available on Advance Programs) (Sort by: Date Descending) |
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Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, MBE (Joint) |
2021-03-04 09:50 |
Online |
Online |
Evaluation of effect of source noise on magnetoencephalography source estimation using a structured sparse model Kai Miyazaki, Shun Nirasawa, Kazuaki Akamatsu, Yoichi Miyawaki (UEC) NC2020-56 |
Magnetoencephalography (MEG) is a method to acquire human brain activity at a high temporal resolution, but its spatial ... [more] |
NC2020-56 pp.77-82 |
NC, MBE (Joint) |
2019-03-04 09:30 |
Tokyo |
University of Electro Communications |
Transition of informative areas in the human brain during haptic shape recognition of real objects Shota Eto (UEC), Hironori nakatani (UTokyo), Yoichi Miyawaki (UEC) NC2018-48 |
Shape information is vital for object recognition and it can be acquired by vision and haptic sensation. Previous studie... [more] |
NC2018-48 pp.25-30 |
MBE, NC (Joint) |
2018-03-14 11:15 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Evaluation of feature selection accuracy using sparse classification algorithm based on L0-norm optimization Naoki Ishibashi, Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo/JST PRESTO) NC2017-91 |
Classification often suffers from overfitting if applied to a dataset of small sample size and high dimensionality. Dime... [more] |
NC2017-91 pp.139-144 |
MBE, NC (Joint) |
2017-03-14 13:10 |
Tokyo |
Kikai-Shinko-Kaikan Bldg. |
Analysis of temporal change of astrocyte morphology under hypoxial adaptation using higher-order image features Tomohiro Nishino, Sosuke Tanaka, Masahiro Nitta, Takuma Sugashi, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo) NC2016-91 |
Astrocytes play an important role in controlling oxygen and nutrition from the blood to neurons. Although the shape of a... [more] |
NC2016-91 pp.159-164 |
NC, IPSJ-BIO, IBISML, IPSJ-MPS [detail] |
2016-07-06 14:55 |
Okinawa |
Okinawa Institute of Science and Technology |
Classification analysis of high-dimensional data based on L0-norm optimization. Noriki Ito, Masashi Sato (UEC Tokyo), Yoshiyuki Kabashima (Tokyo Tech), Yoichi Miyawaki (UEC Tokyo) NC2016-14 |
Advances in sensing devices allow us to measure high-dimensional data easily, but the sample size is often limited becau... [more] |
NC2016-14 pp.223-228 |
MBE, NC (Joint) |
2016-03-22 11:25 |
Tokyo |
Tamagawa University |
Image classification of astrocytes for pre- and post-hypoxia adaptation using deep convolutional neural network Sosuke Tanaka, Masahiro Nitta, Kazuto Masamoto, Yoichi Miyawaki (UEC Tokyo) NC2015-91 |
Abstract Astrocytes are a type of glial cells that regulate transportation of nutrition from blood to neurons. Previous... [more] |
NC2015-91 pp.125-130 |
NC, MBE (Joint) |
2014-03-17 15:40 |
Tokyo |
Tamagawa University |
Temporal relationship between object category representation and the level of category abstraction in the human visual cortex Masashi Sato, Yoichi Miyawaki (UEC) NC2013-128 |
Object categories can be hierarchically ordered from abstract to concrete levels. Previous studies showed that the corre... [more] |
NC2013-128 pp.227-232 |
HIP |
2009-06-15 13:00 |
Hokkaido |
Hokkaido University |
[Invited Talk]
Visual image reconstruction from human brain activity Yoichi Miyawaki (NICT/ATR CNS), Hajime Uchida (ATR CNS/Nara Inst. of Sci and Tech.), Okito Yamashita, Masa-aki Sato (ATR CNS), Yusuke Morito, Hiroki C. Tanabe, Norihiro Sadato (National Inst for Physiological Sci./Sokendai), Yukiyasu Kamitani (ATR CNS/Nara Inst. of Sci and Tech.) HIP2009-57 |
[more] |
HIP2009-57 pp.51-56 |
NC |
2007-03-14 16:20 |
Tokyo |
Tamagawa University |
Reconstruction of visual images by combining multi-resolution local image decoders Hajime Uchida (NAIST/ATR), Yoichi Miyawaki (ATR/NICT), Okito Yamashita, Masa-aki Sato (ATR), Tanabe Hiroki, Norihiro Sadato (NIPS), Yukiyasu Kamitani (ATR/NAIST) |
[more] |
NC2006-131 pp.79-84 |
NC |
2007-01-25 15:40 |
Hokkaido |
Noboribetsu Manseikaku(Noboribetsu) |
Rate reduction for a Hodgkin-Huxley type network model with a Hebbian connection Masafumi Oizumi (Univ. of Tokyo), Yoichi Miyawaki (ATR), Masato Okada (Univ. of Tokyo) |
[more] |
NC2006-94 pp.37-42 |
NC |
2006-07-14 13:50 |
Tokyo |
Waseda University |
Higher Order Effect on Analog Reduction for Network of Hodgkin-Huxley Neurons Masafumi Oizumi (Univ. of Tokyo), Yoichi Miyawaki (ATR), Masato Okada (Univ. of Tokyo) |
We propose a systematic method of rate reduction for a Hodgkin-Huxley type neural network model. In this context, Shriki... [more] |
NC2006-40 pp.13-18 |
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