Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
MBE, NC (Joint) |
2016-03-22 10:35 |
Tokyo |
Tamagawa University |
A study on the application of the selective attention to the auditory information processing system Hiroki Nozaki, Susumu Kuroyanagi (Nagoya Inst. of Tech.) NC2015-69 |
In the previous study, we proposed auditory information processing system using pulsed neural network.In this system, it... [more] |
NC2015-69 pp.1-6 |
MBE, NC (Joint) |
2016-03-22 11:00 |
Tokyo |
Tamagawa University |
An STDP control circuit and its evaluation using a Cu-MoOx-Al resistance change memory fabricated on a Si MOSFET Kazumasa Tomizaki, Takashi Morie, Hideyuki Ando (Kyushu Inst. Tech.), Atsushi Fukuchi, Masashi Arita, Yasuo Takahashi (Hokkaido Univ.) NC2015-70 |
With the progress of practical implementation of deep learning in neural networks, high-speed and low-power neural hardw... [more] |
NC2015-70 pp.7-12 |
MBE, NC (Joint) |
2016-03-22 11:25 |
Tokyo |
Tamagawa University |
Construction of Semantic Network Using Restricted Boltzmann Machine Yuichiro Tsutsui, Masafumi Hagiwara (Keio Univ.) NC2015-71 |
In this paper, we propose a new kind of neural network type semantic network utilizing distributed representation. The p... [more] |
NC2015-71 pp.13-18 |
MBE, NC (Joint) |
2016-03-22 11:50 |
Tokyo |
Tamagawa University |
A Proposal and Validation of the Dynamic Self-Organizing Map Masahiro Hiyama, Yukari Yamauchi (Nihon Univ) NC2015-72 |
[more] |
NC2015-72 pp.19-24 |
MBE, NC (Joint) |
2016-03-22 13:45 |
Tokyo |
Tamagawa University |
Quaternion neural networks to estimate and predict polarization states in multipath environment Maoki Hikosaka, Tianben Ding, Akira Hirose (Univ. Tokyo) NC2015-73 |
Channel compensation often employs pre-equalization and/or adaptive diversity schemes. Such techniques require channel p... [more] |
NC2015-73 pp.25-30 |
MBE, NC (Joint) |
2016-03-22 14:10 |
Tokyo |
Tamagawa University |
Quaternion Neural Networks with An Isotropic Activation Function for Adaptive Land Classification Kazutaka Kinugawa, Naoto Usami (Univ. Tokyo), Fang Shang (UEC), Akira Hirose (Univ. Tokyo) NC2015-74 |
[more] |
NC2015-74 pp.31-36 |
MBE, NC (Joint) |
2016-03-22 14:35 |
Tokyo |
Tamagawa University |
Singular Unit Restoration by Using Complex-Valued Neural Networks Kazuhide Ichikawa, Akira Hirose (Univ. Tokyo) NC2015-75 |
[more] |
NC2015-75 pp.37-41 |
MBE, NC (Joint) |
2016-03-22 15:20 |
Tokyo |
Tamagawa University |
Temporal Information Learning Rule and Automatic Parameters Tuning for the Neural Network Kenta Owaki, Susumu Kuroyanagi (Nagoya Inst. of Tech.) NC2015-76 |
[more] |
NC2015-76 pp.43-48 |
MBE, NC (Joint) |
2016-03-22 15:45 |
Tokyo |
Tamagawa University |
Analysis of Trasnsient Phenomena to Periodic Digital Spike-Trains Tomoki Hamaguchi, Kei Yamaoka, Toshimichi Saito (HU) NC2015-77 |
This paper studies dynamic of simple deigital spike maps. The map can generate the digital periodic
spike-trains. In or... [more] |
NC2015-77 pp.49-52 |
MBE, NC (Joint) |
2016-03-22 16:10 |
Tokyo |
Tamagawa University |
Chunking by reservoir computing Toshitake Asabuki, Naoki Hiratani (Todai), Tomoki Fukai (RIKEN) NC2015-78 |
The brain can learn and recognize relatively long sequences as collection of some regular and short sequences or chunks.... [more] |
NC2015-78 pp.53-55 |
MBE, NC (Joint) |
2016-03-22 17:00 |
Tokyo |
Tamagawa University |
[Invited Talk]
From associative memory model to sparse modeling and brain-like artificial intelligence Masato Okada (UTokyo) NC2015-79 |
In this talk, I first introduce statistical-mechanical informatics. In my opinion, statistical-mechanical informatics ha... [more] |
NC2015-79 p.57 |
MBE, NC (Joint) |
2016-03-23 10:25 |
Tokyo |
Tamagawa University |
Modulation transfer function measurement of CT images reconstructed by a hard kernel Jo Mitsuzuka, Kazuhiro Sawa, Yoshinori Takehana, Akihiro Tanaka, Kentaro Kinoshita, Satoru Kishida (Tottori Univ.) NC2015-80 |
To develop MTF(Modulation Transfer Function) measurement of CT images reconstructed by a hard kernel filter, we proposed... [more] |
NC2015-80 pp.59-63 |
MBE, NC (Joint) |
2016-03-23 10:50 |
Tokyo |
Tamagawa University |
A Study of Sparse Feature Learning in the Learning Process of Deep Convolutional Neural Network Yoshihiro Kusano, Hayaru Shouno (UEC) NC2015-81 |
A study to make an image and a video high resolution with the improvement of the display and print technology is conduct... [more] |
NC2015-81 pp.65-70 |
MBE, NC (Joint) |
2016-03-23 11:15 |
Tokyo |
Tamagawa University |
Accuracy analysis of adaptive testing with nonnegative matrix factorization Atsunori Kanemura (AIST), Tetsuo Hatanaka, Manabu Shikauchi (Recruit Career) NC2015-82 |
[more] |
NC2015-82 pp.71-75 |
MBE, NC (Joint) |
2016-03-23 13:10 |
Tokyo |
Tamagawa University |
Evaluation Method of Free Energy Calculation by Replica Monte Carlo Method using Nongaussian and Solvable Models Shoji Sugai, Sumio Watanabe (Tokyo Tech) NC2015-83 |
[more] |
NC2015-83 pp.77-82 |
MBE, NC (Joint) |
2016-03-23 13:35 |
Tokyo |
Tamagawa University |
GPGPU-accelerated simulation of a sensory stimulus and neural activity Kazuhisa Fujita (INCT/ UEC), Yuki Abe, Koya Onodera, Yoshiki Kashimori (UEC) NC2015-84 |
It is important to know details of a sensory stimulus for understanding a nervous system. However, it is difficult to me... [more] |
NC2015-84 pp.83-88 |
MBE, NC (Joint) |
2016-03-23 14:00 |
Tokyo |
Tamagawa University |
External Input Response of Neural Network Model with Irregular Spontaneous Activity Yoshihiro Nagano, Ryo Karakida (UTokyo), Norifumi Watanabe (TUT), Atsushi Aoyama (Keio Univ), Masato Okada (UTokyo) NC2015-85 |
The previous studies have reported that the neural network model with connections following a lognormal distribution rep... [more] |
NC2015-85 pp.89-94 |
MBE, NC (Joint) |
2016-03-23 14:45 |
Tokyo |
Tamagawa University |
Verification of color receptive field of mammals and insects with ICA Ryohei Yamada (Tokyo Tech), Yoichi Seki, Hiroyoshi Miyakawa, Takako Morimoto (Tokyo University of Pharmacy and Life Sciences), Toru Aonishi (Tokyo Tech) NC2015-86 |
It is important to understand how efficiently information from the natural world is processed in the brain. It is sugges... [more] |
NC2015-86 pp.95-100 |
MBE, NC (Joint) |
2016-03-23 15:10 |
Tokyo |
Tamagawa University |
Bayesian estimation inherent in a Mexican-hat type neural network model Ken Takiyama (TUAT) NC2015-87 |
[more] |
NC2015-87 pp.101-106 |
MBE, NC (Joint) |
2016-03-23 15:35 |
Tokyo |
Tamagawa University |
Applying an electromagnetic theorem to solve the Border-Ownership assignment problem Zaem Arif Zainal, Shunji Satoh (UEC) NC2015-88 |
We discovered that the relationship between Border-Ownership (BO) assignment and order in depth of objects in occlusion ... [more] |
NC2015-88 pp.107-112 |