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Technical Committee on Neurocomputing (NC)  (Searched in: 2007)

Search Results: Keywords 'from:2007-07-24 to:2007-07-24'
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Search Results: Conference Papers
 Conference Papers (Available on Advance Programs)  (Sort by: Date Ascending)
 Results 1 - 8 of 8  /   
Committee Date Time Place Paper Title / Authors Abstract Paper #
NC 2007-07-24
11:00		 Kyoto Kyoto Univ. Information analysis of Monkey AIP neurons during hand manipulation task
Takashi Shimizu, Fumihiko Ishida (UEC), Akira Murata (Kinki Univ.), Yutaka Sakaguchi (UEC) NC2007-25		 We analyzed spike activities of the monkey anterior intraparietal area (AIP) to reveal how the brain represents informat... [more] NC2007-25
pp.1-6
NC 2007-07-24
11:30		 Kyoto Kyoto Univ. A Bayesian analysis of the time dependent irregularity of neuronal firing
Takeaki Shimokawa, Shigeru Shinomoto (Kyoto Univ.) NC2007-26		 We have recently proposed a coefficient of local variation, termed Lv,
for measuring the irregularity of neuronal firin... [more]		 NC2007-26
pp.7-10
NC 2007-07-24
13:30		 Kyoto Kyoto Univ. [Invited Talk] Modeling Simultaneous Usage of Firing Rates and Spike Synchrony as Neural Codes
Naoki Masuda (Univ.of Tokyo) NC2007-27		  [more] NC2007-27
p.11
NC 2007-07-24
15:00		 Kyoto Kyoto Univ. [Invited Talk] Dynamics of plastic recurrent cortical networks
Markus Diesmann (RIKEN) NC2007-28		  [more] NC2007-28
pp.13-14
NC 2007-07-24
16:30		 Kyoto Kyoto Univ. [Invited Talk] Detection of coordinated network activity in multiple parallel spike trains
Sonja Gruen (RIKEN) NC2007-29		  [more] NC2007-29
pp.15-16
NC 2007-07-25
10:00		 Kyoto Kyoto Univ. Properties of Genetic Algorithms as a Network
Hiroyuki Funaya, Kazushi Ikeda (Kyoto Univ.) NC2007-30		 These recent years, network analysis has revealed that some real networks have the properties of small-world and/or scal... [more] NC2007-30
pp.17-22
NC 2007-07-25
10:30		 Kyoto Kyoto Univ. On the Computation Approach of Learning Coefficients by Weighted Resolution of Singularities
Takeshi Matsuda, Sumio Watanabe (Tokyo Inst. of Tech) NC2007-31		 The learning machines which have singular Fisher information matrices are called singular statistical models. It says th... [more] NC2007-31
pp.23-27
NC 2007-07-25
11:00		 Kyoto Kyoto Univ. Some properties of Quaternion Neural Network
Eiji Yoshida, Seiichi Mita (TTI) NC2007-32		 In this paper, we deal with a comparison of the quaternion neural network and the real neural network.
In particular, ... [more]		 NC2007-32
pp.29-34
 Results 1 - 8 of 8  /   
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