Committee |
Date Time |
Place |
Paper Title / Authors |
Abstract |
Paper # |
CCS |
2018-11-22 13:00 |
Hyogo |
Kobe Univ. |
On bifurcation phenomena of a spiking neuron model based on asynchronous cellular automaton Kentaro Takeda (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-33 |
[more] |
CCS2018-33 pp.1-5 |
CCS |
2018-11-22 13:25 |
Hyogo |
Kobe Univ. |
On characteristics of an asynchronous cellular automaton reservoir Taiki Naka (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-34 |
[more] |
CCS2018-34 pp.7-10 |
CCS |
2018-11-22 13:50 |
Hyogo |
Kobe Univ. |
On bifurcation phenomena of a gene network model based on asynchronous cellular automaton Takuya Yoshimoto (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-35 |
In this paper, we consider a modeling method of a gene network, which simulates dynamics of repair of DNA damage, using ... [more] |
CCS2018-35 pp.11-15 |
CCS |
2018-11-22 14:30 |
Hyogo |
Kobe Univ. |
Optimal Configuration based on Constraint Programming for Wireless Mesh Networks with Multi-Interface in IEEE802.11 Infrastructure Mode Tomoki Takahashi (Kobe Univ.), Taka Maeno (Space-Time Engineering), Yumi Takaki, Tomio Kamada, Chikara Ohta, Naoyuki Tamura (Kobe Univ.) CCS2018-36 |
In multi-channel wireless mesh networks (MC-WMNs), high throughput is achieved throughout network when appropriate chann... [more] |
CCS2018-36 pp.17-22 |
CCS |
2018-11-22 14:55 |
Hyogo |
Kobe Univ. |
Analyses of burst phenomena of a piece-wise constant neuron model Chiaki Matsuda (Kyoto Sangyo Univ.), Hiroyuki Torikai (Hosei Univ.) CCS2018-37 |
In this paper, a modified piece-wise constant (PWC) neuron model is studied. There are various bifur- cation phenomena a... [more] |
CCS2018-37 pp.23-27 |
CCS |
2018-11-22 15:20 |
Hyogo |
Kobe Univ. |
Has the arrowhead market achieved the efficient market ? Mieko Tanaka-Yamawaki (Meiji Univ.), Masanori Yamanaka (Nihon Univ.) CCS2018-38 |
We are trying to reveal the nature of price fluctuation of the 2nd stage arrowhead market, by using the whole transactio... [more] |
CCS2018-38 pp.29-32 |
CCS |
2018-11-22 16:00 |
Hyogo |
Kobe Univ. |
[Invited Talk]
Dynamical robustness of complex networks Gouhei Tanaka (Univ. Tokyo) CCS2018-39 |
There are many systems regarded as complex networks in the real world, including engineering networks such as communicat... [more] |
CCS2018-39 pp.33-38 |
CCS |
2018-11-23 10:25 |
Hyogo |
Kobe Univ. |
A physiologically based State Transition Model between Wake, REM-sleep and non-REM-sleep state Kazuya Hirota, Yasuhiro Tsubo (Ritsumeikan Univ.) CCS2018-40 |
A sleep-wake rhythm is a biological rhythm with a roughly 24-hour period and widely observed in animals. This rhythm con... [more] |
CCS2018-40 pp.39-44 |
CCS |
2018-11-23 10:50 |
Hyogo |
Kobe Univ. |
A Human-Like Agent Based on a Hybrid of Reinforcement and Imitation Learning Xinyu Lian, Rousslan Fernand Julien Dossa (Kobe Univ.), Hirokazu Nomoto (EQUOS RESEARCH), Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-41 |
Reinforcement learning (RL) makes it possible to build an efficient agent that handles tasks in complex and uncertain en... [more] |
CCS2018-41 pp.45-50 |
CCS |
2018-11-23 13:00 |
Hyogo |
Kobe Univ. |
[Invited Talk]
Error-correction in neuro-inspired spike signaling Ferdinand Peper (NICT) CCS2018-42 |
Inspired by the spike-based signaling between neurons, we introduce impulse-based signaling for wireless communication, ... [more] |
CCS2018-42 pp.51-56 |
CCS |
2018-11-23 14:05 |
Hyogo |
Kobe Univ. |
Dynamics analysis and application of cellular automata with time-variant rules Takahiro Ozawa, Toshimichi Saito (HU) CCS2018-43 |
The cellular automata are digital dynamical systems in which time, space, states are all discrete. Depending on a rule, ... [more] |
CCS2018-43 pp.57-60 |
CCS |
2018-11-23 14:30 |
Hyogo |
Kobe Univ. |
Digital Spiking Neural Net and approximation of spike-train Hiroaki Uchida, Toshimichi Saito (HU) CCS2018-44 |
This paper considers a ring-coupled digital spiking neural network and its hardware implementation. Depending on paramet... [more] |
CCS2018-44 pp.61-65 |
CCS |
2018-11-23 14:55 |
Hyogo |
Kobe Univ. |
Hypernetwork-based Implicit Posterior Estimation of CNN Kenya Ukai, Takashi Matsubara, Kuniaki Uehara (Kobe Univ.) CCS2018-45 |
Deep neural networks have a rich ability to learn complex representations and achieved remarkable results in various tas... [more] |
CCS2018-45 pp.67-72 |