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All Technical Committee Conferences (Searched in: All Years)
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE | 2015-03-17 15:50 |
Tokyo | Tamagawa University | Element model of neural mass from spiking neuron model Hiroaki Umehara (NICT), Jun-nosuke Teramae (Osaka Univ.), Yasushi Naruse (NICT)  MBE2014-161 NC2014-112 |
[more] | MBE2014-161 NC2014-112 pp.249-252 |
| NC, MBE (Joint) |
2014-03-18 11:00 |
Tokyo | Tamagawa University | Active memory capacity in a neural network with short-term synaptic plasticity Kenji Tanaka (Univ. of Tokyo), Yasuhiko Igarashi (Univ. of Tokyo/JSPS), Masato Okada (Univ. of Tokyo/RIKEN) NC2013-105 |
In pre-frontal cortex (PFC), electro physiological experiments studies have established a link between the neuronal acti... [more] | NC2013-105 pp.97-102 |
| NLP, CAS | 2012-09-20 14:55 |
Kochi | Eikokuji Campus, University of Kochi | Basic dynamics of a pulse-coupled system with three spiking neurons Sho Shibata, Yusuke Matsuoka (YNCT) CAS2012-35 NLP2012-61 |
This paper introduces a pulse-coupled system including three spiking neuron models. The state of the spiking neuron ... [more] |
CAS2012-35 NLP2012-61 pp.31-36 |
| 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) |
2010-03-10 14:35 |
Tokyo | Tamagawa University | Information Divergences in Local Variational Approximation of Bayesian Posterior Distribution Kazuho Watanabe (NAIST), Masato Okada (Univ. of Tokyo), Kazushi Ikeda (NAIST) NC2009-138 |
Local variational method is a technique to approximate intractable posterior distributions in Bayesian learning. In thi... [more] |
NC2009-138 pp.297-302 |
| NC | 2009-01-20 14:40 |
Hokkaido | Hokkaido Univ. | Which model can properly describe dynamics and smoothness of firing rate? Ken Takiyama (The Univ. of Tokyo), Kentaro Katahira, Masato Okada (The Univ. of Tokyo/RIKEN) NC2008-98 |
We construct the algorithm using belief propagation(BP), which algorithm simultaneously estimates firing rate and calcu... [more] |
NC2008-98 pp.89-94 |
| NC | 2008-11-08 14:40 |
Saga | Saga Univ. | The Waveform Conduction Characteristic of NN Using Pulse-Type Hardware Chaos Neuron Model Ken Saito, Yoshifumi Sekine (Nihon Univ.) NC2008-70 |
Various coding hypothesis are reported by using the mathematical pulse-type neuron model. However, the information proce... [more] | NC2008-70 pp.67-72 |
| NC | 2008-10-24 13:00 |
Miyagi | Tohoku Univ. | Analysis of auditory cortical representation with mutual information Ryo Yokota, Hidekazu Kose, Kazuyuki Aihara, Ryohei Kanzaki, Hirokazu Takahashi (The Univ. of Tokyo) NC2008-53 |
We investigated in the rat auditory cortex how each neuron differentially employs the rate coding and temporal spike cod... [more] | NC2008-53 pp.89-94 |
| NC | 2008-01-15 16:50 |
Hokkaido | Centennial Hall, Hokkaido Univ. | Estimation of an instanteneous spike rate with the transfer matrix method Hiroyuki Tanaka (Tokyo Univ.), Keiji Miura (Harvard Univ./RIKEN), Kazuho Watanabe (Tokyo Univ.), Masato Okada (Tokyo Univ./RIKEN) NC2007-96 |
The neuronal spikes are irregular and unpredictable process, and can be regarded as a kind of the stochastic events. By... [more] |
NC2007-96 pp.55-60 |
| NC | 2007-03-16 15:30 |
Tokyo | Tamagawa University | Waveform Information Transmission Characteristics of Asynchronous Pulse-Type Hardware NN Focus on the Instantaneous Firing Rate Ken Saito, Hitoshi Irie, Yoshifumi Sekine (Nihon Univ.) |
We study the waveform transmission of pulse train which propagates the NN using hardware model. In this paper, we study ... [more] | NC2006-213 pp.149-154 |
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