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All Technical Committee Conferences (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 # |
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 |
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