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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| SS, IPSJ-SE, KBSE [detail] | 2022-07-29 13:25 |
Hokkaido | Hokkaido-Jichiro-Kaikan (Sapporo) (Primary: On-site, Secondary: Online) |
Fault Localization for RNNs Based on Probabilistic Automata and n-grams Yuta Ishimoto, Masanari Kondo, Naoyasu Ubayashi, Yasutaka Kamei (Kyushu Univ.)  SS2022-10 KBSE2022-20 |
If deep learning models misbehave, serious accidents may occur.Previous studies have proposed approaches to overcome suc... [more] | SS2022-10 KBSE2022-20 pp.55-60 |
| NC, MBE (Joint) |
2021-03-05 13:00 |
Online | Online | The Relation between Sensitivity and Maximum Lyapunov Exponent when Sensitivity Adjustment Learning is Applied to Layered Recurrent Neural Networks Takuya Ejima, Yuuki Tokumaru, Kastunari Shibata (Oita Univ.) NC2020-69 |
We have proposed a local learning method named "sensitivity adjustment learning (SAL)". The sensitivity, which is adjust... [more] | NC2020-69 pp.151-156 |
| NC, MBE (Joint) |
2018-12-15 15:15 |
Aichi | Nagoya Institute of Technology | Improved accuracy of sentence classification using recurrent neural networks Mitsuhiro Komuro, Yuji Sato (HU) NC2018-36 |
Recently various dialogue assistant products have appeared. On one hand, many of them cannot deal with flexible dialogue... [more] | NC2018-36 pp.47-50 |
| CCS | 2015-11-09 14:25 |
Kyoto | Inamori Foundation Memorial Building, Kyoto Univ. | A macroscopic neural mass model constructed from a current-based network of spiking neurons Hiroaki Umehara (NICT), Masato Okada (UTokyo), Jun-nosuke Teramae (Osaka Univ.), Yasushi Naruse (NICT) CCS2015-51 |
Neural mass model describing the dynamics of mean membrane potentials for neuronal populations are formulated from the n... [more] | CCS2015-51 pp.35-40 |
| NC, MBE (Joint) |
2014-03-18 16:00 |
Tokyo | Tamagawa University | Causality Trace
-- Effective Retrospective Learning by Introducing Parallel and Subjective Time Scales -- Katsunari Shibata (Oita Univ.) NC2013-115 |
As a general method for effective retrospective learning in uninterrupted time based on the concept of ``subjective time... [more] | NC2013-115 pp.157-162 |
| MBE, NC (Joint) |
2012-03-15 09:50 |
Tokyo | Tamagawa University | Stochastic State Transitions in Recurrent Neural Networks with Sparse Asymmetric Connections Koretaka Ogata, Takuma Tanaka, Kiyohiko Nakamura (Tokyo Tech) NC2011-149 |
Recently many studies have reported that neurons form clustered structures in neocortical microcircuits more than expect... [more] | NC2011-149 pp.165-169 |
| NLP, CAS | 2010-08-02 14:10 |
Tokushima | Naruto University of Education | Functional Connectivity Patterns Organized through STDP in Recurrent Networks Hideyuki Kato, Tohru Ikeguchi (Saitama Univ.) CAS2010-41 NLP2010-57 |
In this report, we investigated the functional connectivity in recurrent networks organized through spike-timing-depende... [more] | CAS2010-41 NLP2010-57 pp.43-48 |
| NLP | 2009-11-13 11:45 |
Kagoshima | Anisotropic Spike Propagation by STDP and Inhibition in a Recurrent Network. Toshikazu Samura, Hatsuo Hayashi (Kyushu Inst. of Tech.) NLP2009-105 |
In the area CA1, spikes propagate along the longitudinal axis of the hippocampus. It is highly possible that the propa... [more] |
NLP2009-105 pp.133-138 |
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