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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NLP, CAS | 2019-10-22 15:55 |
Gifu | Gifu Univ. | Discussion on Modeling Nano-Carbon Electrons by Classical Probabilistic Particles Shota Hayakawato, Ibuki Nakamura, Hisato Fujisaka (Hiroshima City Univ.)  CAS2019-35 NLP2019-75 |
The behavior of electrons on graphene is described by massless Dirac equation whose solution is a quantum wave with pseu... [more] | CAS2019-35 NLP2019-75 pp.61-66 |
| NC | 2012-07-31 13:40 |
Shiga | Ritsumeikan Univ. College of Information Science and Engineering | Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization
-- Reverse Replay and Temporally Structured Replay Cases -- Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-30 |
It has been reported that reverse replay and temporally-structured replay of ensemble spiking patterns occur during both... [more] | NC2012-30 pp.89-94 |
| NC, IPSJ-BIO | 2012-06-28 14:15 |
Okinawa | OIST, Okinawa | Characteristics Prediction of Synaptic Modification in the Hippocampal CA1 Network by Mutual information maximization Ryota Miyata (Tokyo Tech.), Keisuke Ota (RIKEN), Toru Aonishi (Tokyo Tech.) NC2012-10 |
We employ a top-down approach to finding optimal neural implementations for executing a computation of the hippocampal C... [more] | NC2012-10 pp.53-58 |
| NC | 2009-10-24 10:15 |
Saga | Saga University | Construction of the maximizer of posterior marginal estimate by Langevin equation in probabilistic image processing Wataru Norimatsu, Jun-ichi Inoue (Hokkaido Univ.) NC2009-43 |
We formulate the maximizer of posterior marginal (MPM) estimate for Bayesian probabilistic image processing by using the... [more] | NC2009-43 pp.35-40 |
| NC, MBE (Joint) |
2009-03-11 09:30 |
Tokyo | Tamagawa Univ. | Spike Triggered Analysis Based on Higher-Order Perturbation Expansion for Oscillating Mode Keisuke Ota (Tokyo Inst. of Tech.), Toshiaki Omori, Masato Okada (Univ. of Tokyo/RIKEN), Toru Aonishi (Tokyo Inst. of Tech/RIKEN) NC2008-114 |
Neurons can be interpreted as an encoder transforming some specific external stimuli into spikes, and the mechanism of t... [more] | NC2008-114 pp.63-68 |
| NC | 2009-01-19 14:20 |
Hokkaido | Hokkaido Univ. | Experimental Study of Bayesian Learning using Langevin Equation in Singular Learing Machines Taruhi Iwagaki, Sumio Watanabe (Tokyo Inst. of Tech.) NC2008-88 |
Langevin equation implies an algorithm that could make samples from the stationary distribution of a biased random walk ... [more] | NC2008-88 pp.37-42 |
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