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Technical Committee on Neurocomputing (NC) (Searched in: 2007)
Search Results: Keywords 'from:2007-11-18 to:2007-11-18'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC | 2007-11-18 12:30 |
Saga | Saga Univ. | Development of a Vision Chip with a Switched-Resistor Network Shosuke Morimoto, Seiji Kameda, Atsushi Iwata (Hiroshima Univ.)  NC2007-55 |
A neuromorphic silicon retina carries out real-time image processing by massively-parallel circuit structure. A resi... [more] |
NC2007-55 pp.1-6 |
| NC | 2007-11-18 12:55 |
Saga | Saga Univ. | Development of a compact visual signal processing module inspired by insect vision Hirotsugu Okuno, Tetsuya Yagi (Osaka Univ.) NC2007-56 |
Insects can process visual signals efficiently with limited nervous networks of the small cephalon, and survive in the n... [more] | NC2007-56 pp.7-11 |
| NC | 2007-11-18 13:20 |
Saga | Saga Univ. | Binocular robot vision system that emulates neural mechanism of sterescopic vision Kazuhiro Shimonomura, Tetsuya Yagi (Osaka Univ.) NC2007-57 |
We describe a binocular robot vision system for emulating computational models of streoscopic vision in brain. The s... [more] |
NC2007-57 pp.13-18 |
| NC | 2007-11-18 13:45 |
Saga | Saga Univ. | Toward a Bio-Inspired Image Processor for Edge Extraction with Single-Electron Devices Andrew Kilinga Kikombo (Hokkaido Univ.), Alexandre Schmid (Swiss Fed. Inst. of Tech.), Tetsuya Asai (Hokkaido Univ.), Yusuf Leblebici (Swiss Fed. Inst. of Tech.), Yoshihito Amemiya (Hokkaido Univ.) NC2007-58 |
Edge extraction in incident images is a primary function carried out in the vertebrate retina. Based on a biological mod... [more] | NC2007-58 pp.19-24 |
| NC | 2007-11-18 14:25 |
Saga | Saga Univ. | Digital MLP with Binary Connection and Its Application Tohru Abe, Toshimichi Saito (HU) NC2007-59 |
This paper studies Digital Multi-Layer Perceptron (DLP) characterized by signum activation function and binary connectio... [more] | NC2007-59 pp.25-29 |
| NC | 2007-11-18 14:50 |
Saga | Saga Univ. | Fundamental analysis of a Digital Spiking Neuron for development of a learning algorithm Hiroyuki Torikai (Osaka Univ.) NC2007-60 |
The digital spiking neuron is a wired system of shift registers and behaves like a spiking neuron model. By adjusting t... [more] |
NC2007-60 pp.31-36 |
| NC | 2007-11-18 15:15 |
Saga | Saga Univ. | Evaluation of a CMOS Spiking Neural Network LSI with STDP Function Hideki Tanaka, Takashi Morie (Kyutech), Kazuyuki Aihara (Tokyo Univ.) NC2007-61 |
In some spiking neuron models, analog information is expressed by the timing of neuronal spike firing events, and synap... [more] |
NC2007-61 pp.37-42 |
| NC | 2007-11-18 15:40 |
Saga | Saga Univ. | Four Valued SRAM with neuron MOSFETs Yoshiaki Hirata, Yoshikazu Ishimaru, Akio Shimizu, Sumio Fukai (Saga Univ.) NC2007-62 |
[more] | NC2007-62 pp.43-48 |
| NC | 2007-11-18 16:20 |
Saga | Saga Univ. | [Invited Talk]
An integrated circuit and characteristics of the Burst ID neural network Koji Nakajima, Shinya Suenaga, Akari Sato, Takahiro Sota, Yoshihiro Hayakawa (Tohoku Univ.) NC2007-63 |
We report the characteristics of a neural network comprising neuron units with bursting, and its integrated circuit that... [more] | NC2007-63 pp.49-54 |
| NC | 2007-11-19 10:15 |
Saga | Saga Univ. | Inversed Function Delayed Network for Traveling Salesman Problem Takahiro Sota, Yoshihiro Hayakawa, Koji Nakajima (Tohoku Univ.) NC2007-64 |
Many researchers have attempted to solve the combinatorial optimization problems by using neural networks which have hig... [more] | NC2007-64 pp.55-60 |
| NC | 2007-11-19 10:40 |
Saga | Saga Univ. | Midpoint-Validation Method for Support Vector Machine Shota Ikubo, Hiroki Tamura, Koichi Tanno (Miyazaki Univ.) NC2007-65 |
In recent years, support vector machine (abbr. SVM) is one of the most influential and powerful tools for solving classi... [more] | NC2007-65 pp.61-64 |
| NC | 2007-11-19 11:05 |
Saga | Saga Univ. | Online Feedback Error Learning Control of Neural Network with Scaling Factor for an Inverted Pendulum Yuzuru Morita, Hiroshi Wakuya (Saga Univ.) NC2007-66 |
This paper presents an application of the feedback error learning technique for online control of an inverted pendulum s... [more] | NC2007-66 pp.65-70 |
| NC | 2007-11-19 13:00 |
Saga | Saga Univ. | Colored Noise Stabilizes Asynchronous Persistent Activity Kosuke Hamaguchi (RIKEN), Nicolas Brunel (CNRS-Univ.) NC2007-67 |
Prefrontal neurons shows persistent activity during the delay period of working memory tasks. A natural way to explain... [more] |
NC2007-67 pp.71-76 |
| NC | 2007-11-19 13:25 |
Saga | Saga Univ. | A Moving Image Generation Based on Sequential Backward Projection in Self-Organizing Map Takahiro Ishiguma, Hiroshi Wakuya (Saga Univ.) NC2007-68 |
A self-organizing map (SOM) is a topology-preserving projector between the input and the competitive layers. Recently, a... [more] | NC2007-68 pp.77-82 |
| NC | 2007-11-19 13:50 |
Saga | Saga Univ. | The clustering of MIDI music using Self-Organizing Map Kouhei Tanaka, Hiroshi Dozono (Saga Univ.) NC2007-69 |
As the classification system of musical information, we propose a clustering method of MIDI music data using Self Organi... [more] | NC2007-69 pp.83-88 |
| NC | 2007-11-19 14:15 |
Saga | Saga Univ. | Constructing error correcting output coding using latent variable models Nobuhiko Yamaguchi (Saga Univ.) NC2007-70 |
The object of this paper is to construct a multi-class classifier by Error-Correcting Output Coding (ECOC) approach. The... [more] | NC2007-70 pp.89-93 |
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