IEICE Technical Report

Print edition: ISSN 0913-5685      Online edition: ISSN 2432-6380

Volume 116, Number 120

Neurocomputing

Workshop Date : 2016-07-05 - 2016-07-06 / Issue Date : 2016-06-28

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Table of contents

NC2016-6
A neuromarker of anxiety from whole-brain functional connectivity.
Yu Takagi (NAIST/ATR), Yuki Sakai (Kyoto Pref. Univ. Med./ATR), Saori C. Tanaka (ATR)
pp. 159 - 164

NC2016-7
Sparse Simultaneous Estimation of Phase Response Curves using Spike-Triggered Average
Man Arakaki, Yasuhiko Igarashi (Univ. Tokyo), Toshiaki Omori (Kobe Univ.), Masato Okada (Univ. Tokyo/RIKEN)
pp. 165 - 170

NC2016-8
Global structure of the clusters in local cortical circuit with receptive field correlation
Kohei Watanabe (Osaka Univ.), Jun-nosuke Teramae, Naoki Wakamiya (Osaka Univ./CiNet)
pp. 171 - 174

NC2016-9
[Invited Talk] Neural mechanisms of adaptive oculomotor control -- from animal experiments, neuronal circuitry modeling, cerebellum-machine interface to robot control, sleepiness detection, and motor learning promotion --
Yutaka Hirata (Chubu Univ.)
p. 175

NC2016-10
Roles of the cerebellum in predictive optokinetic response
Shuntaro Miki (Chubu Univ.), Robert Baker (New York Univ.), Yutaka Hirata (Chubu Univ.)
pp. 201 - 206

NC2016-11
Development of Oculofeedback system and Microsaccade feedback experiment
Joshua Emoto, Yutaka Hirata (Chubu Univ.)
pp. 207 - 210

NC2016-12
A model of human color vision for visibility prediction of color scheme
Takuya Yoshioka, Yoshihisa Shinozawa (Keio Univ.)
pp. 211 - 216

NC2016-13
Computational study on the effect of modular topology on synchronized activity in neuronal networks
Satoshi Moriya, Hideaki Yamamoto, Hisanao Akima, Ayumi Hirano-Iwata, Michio Niwano (Tohoku Univ.), Shigeru Kubota (Yamagata Univ.), Shigeo Sato (Tohoku Univ.)
pp. 217 - 222

NC2016-14
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)
pp. 223 - 228

NC2016-15
Feedforward supervised learning for deep neural networks with local competitiveness information
Takashi Shinozaki (NICT)
pp. 229 - 234

Note: Each article is a technical report without peer review, and its polished version will be published elsewhere.


The Institute of Electronics, Information and Communication Engineers (IEICE), Japan