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 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 11 of 11  /   
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
 Results 1 - 11 of 11  /   
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