IEICE Technical Committee Submission System
Conference Schedule
Online Proceedings
[Sign in]
Tech. Rep. Archives
    [Japanese] / [English] 
( Committee/Place/Topics  ) --Press->
 
( Paper Keywords:  /  Column:Title Auth. Affi. Abst. Keyword ) --Press->

All Technical Committee Conferences  (All Years)

Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Descending)
 Results 1 - 13 of 13  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NLP, MICT, MBE, NC
(Joint) [detail]
2022-01-23
10:55
Online Online Reward-oriented Environment Inference on Reinforcement Learning
Kazuki Takahashi (Kogakuin Univ.), Tomoki Fukai (OIST), Yutaka Sakai (Tamagawa Univ.), Takashi Takekawa (Kogakuin Univ.) NC2021-42
Experiments on humans using the bandit problem have shown that dimensionality reduction of complex observations to a sta... [more] NC2021-42
pp.49-54
NC, MBE
(Joint)
2019-03-05
11:10
Tokyo University of Electro Communications Unsupervised blind source separation using self conditioned entropy minimization
Yuan-chieh Ling, Toshitake Asabuki (UTokyo), Tomoki Fukai (RIKEN CBS) NC2018-67
Unsupervised blind source separation refers to extracting underlying source signals from mixed signals without additiona... [more] NC2018-67
pp.127-129
MBE, NC
(Joint)
2016-05-21
14:15
Toyama University of Toyama Acceleration of automatic sorting system for large scale calcium imaging data
Takahiro Nemoto, Teruo Tanaka, Akihiro Fujii (Kogakuin Univ.), Noriaki Ohkawa (Univ of Toyama.), Masaaki Sato, Yasunori Hayashi (RIKEN BSI.), Kaoru Inokuchi (Univ of Toyama.), Tomoki Fukai (RIKEN BSI.), Takashi Takekawa (Kogakuin Univ.) NC2016-4
 [more] NC2016-4
pp.17-22
MBE, NC
(Joint)
2016-03-22
16:10
Tokyo Tamagawa University Chunking by reservoir computing
Toshitake Asabuki, Naoki Hiratani (Todai), Tomoki Fukai (RIKEN) NC2015-78
The brain can learn and recognize relatively long sequences as collection of some regular and short sequences or chunks.... [more] NC2015-78
pp.53-55
MBE, NC
(Joint)
2012-03-15
11:05
Tokyo Tamagawa University Associative Memory Model with Lognormal-like Synaptic Weight Distributions
Naoki Hiratani (Univ. of Tokyo), Jun-nosuke Teramae (RIKEN/JST), Tomoki Fukai (RIKEN/Univ. of Tokyo) NC2011-152
 [more] NC2011-152
pp.183-186
MBE, NC
(Joint)
2012-03-15
11:30
Tokyo Tamagawa University Oscillatory component of spontaneous activity sustained in log-normally connected network
Jun-nosuke Teramae, Tomoki Fukai (RIKEN) NC2011-153
 [more] NC2011-153
pp.187-190
NC 2011-07-26
11:50
Hyogo Graduate School of Engineering, Kobe University Origin and computational roles of spontaneous noise in cortex
Jun-nosuke Teramae, Tomoki Fukai (RIKEN BSI) NC2011-37
(To be available after the conference date) [more] NC2011-37
pp.93-96
NC, IPSJ-BIO [detail] 2011-06-23
13:00
Okinawa 50th Anniversary Memorial Hall, University of the Ryukyus Information content analysis for spike trains of neuron and neural networks
Takashi Takekawa (RIKEN), Yoshikazu Isomura (Tamagawa Univ.), Tomoki Fukai (RIKEN) NC2011-1
Traditionally, firing rates are considered informative signals represented by action potentials,
and compared with obse... [more]
NC2011-1
pp.1-2
NC, MBE
(Joint)
2010-03-09
13:20
Tokyo Tamagawa University Prediction of Spike Firing Event from Local Field Potentials
Emi Takakuda (The Univ. of Tokyo.), Kensuke Arai, Yoshikazu Isomura, Takashi Takekawa, Tomoki Fukai (RIKEN) NC2009-93
 [more] NC2009-93
pp.35-38
NC, NLP 2009-07-13
13:30
Nara NAIST Trade-off between cell-to-cell synchtonization and trial-to-trial reliability in recurrent networks of spiking neurons -- Noise-induced synchoronization between nonlinear systems --
Jun-nosuke Teramae, Tomoki Fukai (RIKEN) NLP2009-19 NC2009-12
We study response reliability of spike firing in a coupled network of neurons receiving fluctuating inputs. We can study... [more] NLP2009-19 NC2009-12
pp.31-32
NC, NLP 2009-07-13
14:00
Nara NAIST Minimum Conditional Entropy Principle Inferred from Irregular Firing of in Vivo Cortical Neurons
Yasuhiro Tsubo, Yoshikazu Isomura, Tomoki Fukai (RIKEN BSI) NLP2009-20 NC2009-13
Spike sequences recorded from cortical neurons in an awake animal are known to be highly irregular. It is crucial for el... [more] NLP2009-20 NC2009-13
pp.33-35
NC, MBE
(Joint)
2009-03-11
09:55
Tokyo Tamagawa Univ. Correlation between output spike trains of feed forward network receiving common input
Yasuhiro Nishigaki (Tokyo Univ.), Jun-nosuke Teramae, Tomoki Fukai (RIKEN) NC2008-115
Neuron in the brain have two ways of information coding by spike trains. One is rate coding and another is temporal codi... [more] NC2008-115
pp.69-73
NC, NLP 2008-06-27
14:05
Okinawa University of the Ryukyus Reliability of spike timing in coupled networks of neurons: noise-induced synchronization of nonlinear oscillators
Jun-nosuke Teramae, Tomoki Fukai (RIKEN) NC2008-24
In this report, we discuss temporal precision of spike sequences generated by a pulse-coupled network of neurons. We sho... [more] NC2008-24
pp.65-67
 Results 1 - 13 of 13  /   
Choose a download format for default settings. [NEW !!]
Text format pLaTeX format CSV format BibTeX format
Copyright and reproduction : All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034)


[Return to Top Page]

[Return to IEICE Web Page]


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