Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
NC, NLP (Joint) |
2017-01-26 09:30 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
A basic study for the development of music presentation system using music preference electroencephalograph Yuya Tsuji, Kiyohisa Natsume (Kyutech) NLP2016-97 |
[more] |
NLP2016-97 pp.1-6 |
NC, NLP (Joint) |
2017-01-26 09:55 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
The pronation/supination movement characteristic and estimating the rotation angle using the electromyogram Tatsuhiko Fujioka, Kiyohisa Natsume (KIT) NLP2016-98 |
[more] |
NLP2016-98 pp.7-12 |
NC, NLP (Joint) |
2017-01-26 10:20 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Analysis of cellular automata based on feature quantities Naoki Tada, Toshimichi Saito (HU) NLP2016-99 |
This paper studies steady state dynamics of cellular automata (CA):
digital dynamical systems in which time, space and ... [more] |
NLP2016-99 pp.13-17 |
NC, NLP (Joint) |
2017-01-26 10:55 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
An Analysis Method using Haar Wavelet Transform for Unstable Periodic Solutions of Nonlinear Circuits Kohei Takamatsu, Tatsuya Nakabayashi, Seiichiro Moro (Univ. of Fukui) NLP2016-100 |
It has been reported that unstable periodic solution of a dynamical systems make the chaos control easier. But it is dif... [more] |
NLP2016-100 pp.19-24 |
NC, NLP (Joint) |
2017-01-26 11:20 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
On LabVIEW FPGA Implementation of Chaotic Neuron Toshihiro Tachibana, Hideaki Okazaki (Shonan Institute of Tech.) NLP2016-101 |
In recent years, FPGA (field-programmable gate array) such as dynamically reconfigurable devices has attracted attention... [more] |
NLP2016-101 pp.25-30 |
NC, NLP (Joint) |
2017-01-26 11:45 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Analysis of Switched dynamical systems based on coupled boost converters Yasuo Murata, Toshimichi Saito (Hosei Univ) NLP2016-102 |
This paper studies a switched dynamical system based on a paralleled system of boost converters with Winner-Take-All swi... [more] |
NLP2016-102 pp.31-35 |
NC, NLP (Joint) |
2017-01-26 13:10 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
An Array of Pulse-Coupled Spin Torque Nano Oscillators and Its Application to Neuromorphic Computing Kazuki Nakada (Hiroshima City Univ.), Keiji Miura (Kwansei Gakuin Univ.) NLP2016-103 |
In this report, we present an array of pulse-coupled spin torque nano oscillators (STNOs) as a novel physical implement... [more] |
NLP2016-103 pp.37-42 |
NC, NLP (Joint) |
2017-01-26 13:35 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
An Asymmetric Cell Division Model by Reaction-Diffusion Equations Shunta Yamashiro, Koji Kurata (Univ. of The Ryukyus) NLP2016-104 |
Reaction-diffusion equations or RD systems can mimic various natural patterns. The Gray-Scott model, which is one of two... [more] |
NLP2016-104 pp.43-48 |
NC, NLP (Joint) |
2017-01-26 14:00 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
An Orthosis Design with CFRP Bones to Fit the Body Morphology and Kinematics Toward the Non-Electric Support Device for Backbone Problems Akira Matsuda, Yuki Yoshida, Hiroaki Wagatsuma (KIT) NC2016-48 |
We have investigated human-body assistive devices based on the reactive force of the carbon-fiber-reinforced plastic (CF... [more] |
NC2016-48 pp.1-6 |
NC, NLP (Joint) |
2017-01-26 14:35 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Associative memory model storing memory patterns with nonuniform learning frequency and correlation structure Akinori Takemoto, Tomoyuki Kimoto (NIT, Oita College) NC2016-49 |
In this study, we analyze stable states of an autocorrelation associative memory model storing memory patterns with nonu... [more] |
NC2016-49 pp.7-12 |
NC, NLP (Joint) |
2017-01-26 15:00 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Statistical mechanics of coherent Ising machine
-- The case of ferromagnetic and finite loading Hopfield models -- Toru Aonishi (Tokyo Tech.), Kazushi Mimura (Hiroshima City Univ.), Shoko Utsunomiya (NII), Masato Okada (Univ. of Tokyo), Yoshihisa Yamamoto (NII/Stanford Univ.) NC2016-50 |
The coherent Ising machine (CIM) is attracted attention as one of most effective Ising computing architecture for solvin... [more] |
NC2016-50 pp.13-18 |
NC, NLP (Joint) |
2017-01-26 15:25 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
White Noise Analysis for the Correlation-type Elementary Motion Detectors with Half-wave Rectifiers Hideaki Ikeda, Toru Aonishi (Tokyo Tech) NC2016-51 |
Several motion-detection models have been proposed on the basis of insect visual system studies. We focus on the two mod... [more] |
NC2016-51 pp.19-24 |
NC, NLP (Joint) |
2017-01-26 16:00 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Fast Receptive field Inference with Sparse Fourirer Representation by using LASSO Takeshi Tanida, Hirotaka Sakamoto, Yasuhiko Igarashi, Takeshi Ideriha, Satoru Tokuda (Univ. of Tokyo), Kota Sasaki, Izumi Ohzawa (Osaka Univ.), Masato Okada (Univ. of Tokyo/RIKEN) NC2016-52 |
We propose fast receptive eld(RF) inference. The RF describes how a neuron sums up its inputs across
space and time. T... [more] |
NC2016-52 pp.25-30 |
NC, NLP (Joint) |
2017-01-26 16:25 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Estimation of respiratory state using machine learning Keisuke Matsuoka, Jiro Okuda (Kyoto Sangyo Univ.) NC2016-53 |
Recent studies have tried to extract information on respiration from photoplethysmographic (PPG) signals. It is well kno... [more] |
NC2016-53 pp.31-36 |
NC, NLP (Joint) |
2017-01-26 16:50 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
intrinsic viewpoint estimation of multiple survey dataset Hideaki Ishibashi, Ryota Shinriki, Hirohisa Isogai, Tetsuo Furukawa (Kyutech) NC2016-54 |
In the field of computer vision, 3D reconstruction method which estimates the three-dimensional shape of an object captu... [more] |
NC2016-54 pp.37-41 |
NC, NLP (Joint) |
2017-01-27 10:00 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Reconstruction of target trajectories from estimated cortical currents during Overt/Covert visual pursuit tasks Ken-ichi Morishige (Toyama Pref. Univ./ATR), Nobuo Hiroe, Masa-aki Sato, Mitsuo Kawato (ATR) NC2016-55 |
[more] |
NC2016-55 pp.43-48 |
NC, NLP (Joint) |
2017-01-27 10:25 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Phasic Firings of Neurons in Motor Cortex and Striatum during Spindle on Electrocorticogram Signals Kohei Kuromiya (Yamaguchi Univ.), Yoko Tsukamoto (HUIS), Yutaka Sakai, Yoshikazu Isomura (Tamagawa Univ.), Fumino Fujiyama (Doshisha Univ.), Toshikazu Samurai (Yamaguchi Univ./amagawa Univ.) NC2016-56 |
In the brain, the neuronal activity of a neuron shows phasic firings in neuronal oscillations. Neuronal oscillations are... [more] |
NC2016-56 pp.49-52 |
NC, NLP (Joint) |
2017-01-27 11:10 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
[Invited Talk]
Neuronal rhythm, the mechanism of it, and the memory processing in brain. Kiyohisa Natsume (KIT) NLP2016-105 |
There are many rhythmic activities in a brain. The oscillations have different frequency. From the results using animal ... [more] |
NLP2016-105 pp.49-54 |
NC, NLP (Joint) |
2017-01-27 13:00 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
Dynamic Binary Neural Networks with Local Connection Kazuma Makita, Toshimichi Saito (HU) NC2016-57 |
This paper studies of dynamic binary neural networks.
The network is characterized by a signum activation fuction and ... [more] |
NC2016-57 pp.53-57 |
NC, NLP (Joint) |
2017-01-27 13:25 |
Fukuoka |
Kitakyushu Foundation for the Advanement of Ind. Sci. and Tech. |
A study on multilayered neural network with simultaneous perturbation learning rule Kenji Onoue, Hidetaka Ito, Hiroomi Hikawa (Kansai Univ) NC2016-58 |
This paper describes a study on multilayered neural network with simultaneous perturbation learning rule.
The learning ... [more] |
NC2016-58 pp.59-64 |