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Technical Committee on Neurocomputing (NC) (Searched in: 2020)
Search Results: Keywords 'from:2021-03-03 to:2021-03-03'
| Committee | Date Time | Place | Paper Title / Authors | Abstract | Paper # | |
| NC, MBE (Joint) |
2021-03-03 09:00 |
Online | Online | Control Costs for Brain State Transitions in Stochastic Neural Systems Shunsuke Kamiya (The Univ. of Tokyo), Genji Kawakita (Swarthmore Coll.), Shuntaro Sasai (Araya Inc.), Jun Kitazono, Masafumi Oizumi (The Univ. of Tokyo) |
[more] | |
| NC, MBE (Joint) |
2021-03-03 09:25 |
Online | Online | Network cores of the human functional connectome Tomoya Taguchi, Jun Kitazono (Univ. of Tokyo), Shuntaro Sasai (Araya Inc.), Masafumi Oizumi (Univ. of Tokyo)  NC2020-41 |
In order to understand the structure of large and complex neural networks in the brain, it is important to find the "cor... [more] | NC2020-41 pp.1-6 |
| NC, MBE (Joint) |
2021-03-03 09:50 |
Online | Online | Neuronal correlation between the responses to surface and shape in monkey V4 Itsuki Machida, Atsushi Kodama, Ko Sakai (Univ. of Tsukuba) NC2020-42 |
Integration of multiple properties of an object is a fundamental function of the visual cortex in object recognition. Su... [more] | NC2020-42 pp.7-10 |
| NC, MBE (Joint) |
2021-03-03 10:30 |
Online | Online | Evaluation of the relationship between ability to acquire predictive optokinetic response and capacity of the velocity storage mechanism in different animal species. Toshimi Yamanaka (Chubu Uni), Rosendo G. Hernandeza, Pablo M. Blazquez (WUSM), Yutaka Hirata (Chubu Uni) NC2020-43 |
One of the major purposes of eye movements is to suppress retinal image slippages. A type of eye movement called the opt... [more] | NC2020-43 p.11 |
| NC, MBE (Joint) |
2021-03-03 10:55 |
Online | Online | Influence of vestibular neurectomy on the velocity storage mechanism predicted by the neural network model of the optokinetic response faithfully reflecting the cerebellum-brainstem connectome. Yusuke Shinji, Yutaka Hirata (Chubu Univ.) NC2020-44 |
Most vertebrates has a reflexive eye movement called the optokinetic response (OKR) in response to large visual field mo... [more] | NC2020-44 pp.12-16 |
| NC, MBE (Joint) |
2021-03-03 11:20 |
Online | Online | Direction-selective motion detection simulation of the optic lobe using Drosophila connectome Munehiro Hayashi, Takayuki Okuda, Hayato Tsunoda (UTokyo), Tomoki Kazawa, Ryohei Kanzaki (RCAST) NC2020-45 |
(To be available after the conference date) [more] | NC2020-45 pp.17-20 |
| NC, MBE (Joint) |
2021-03-03 13:00 |
Online | Online | Hybrid Sparsity in Convolutional Neural Networks Shoma Noguchi, Yukari Yamauchi (Nihon Univ.) NC2020-46 |
Convolutional neural networks (CNNs) have achieved high accuracy in areas such as image classification and object detect... [more] | NC2020-46 pp.21-24 |
| NC, MBE (Joint) |
2021-03-03 13:25 |
Online | Online | Visualization of CNNs using Preferred Stimulus in Receptive Fields Genta Kobayashi, Hayaru Shouno (UEC) NC2020-47 |
Convolutional neural networks have shown high performance at image processing task, and they are interpreted by variou... [more] |
NC2020-47 pp.25-30 |
| NC, MBE (Joint) |
2021-03-03 13:50 |
Online | Online | Analysis of deep convolutional neural network texture representation using Portilla-Simoncelli statistics Yusuke Hamano, Hayaru Shouno (UEC) NC2020-48 |
Recently, DCNN has achieved significant success in the field of computer vision. It is suggested that the DCNN, which ar... [more] | NC2020-48 pp.31-36 |
| NC, MBE (Joint) |
2021-03-03 14:30 |
Online | Online | Emotion Estimation from EEG data by Multi-Dimensional CNN Mizuki Noda, Masayuki Kikuchi (TUT) NC2020-49 |
This study examined the estimation of subjects' emotion from EEG data using multi-dimensional CNN. We used DEAP dataset ... [more] | NC2020-49 pp.37-40 |
| NC, MBE (Joint) |
2021-03-03 14:55 |
Online | Online | Identification of information propagation pathways in the brain that contribute to the realization of mindfulness state by the maximum-flow problem Haruka Nakamura, Yoshimasa Tawatsuji, Tatsunori Matsui (Waseda Univ.), Makoto Nakamura, Koichi Kimura, Hisanori Fujisawa (FUJITSU LABORATORIES LTD.) NC2020-50 |
We aim to identify the brain regions that are important for the realization of the mindfulness state, formulating the pr... [more] | NC2020-50 pp.41-46 |
| NC, MBE (Joint) |
2021-03-03 15:35 |
Online | Online | A Study on Feature Extraction of signal arrival order using unsupervised learning of the pulsed neuron model Kaya Teramoto, Susumu Kuroyanagi (NIT) NC2020-51 |
For time series information processing using pulsed neuron models, a supervised learning rule is proposed that enables c... [more] | NC2020-51 pp.47-52 |
| NC, MBE (Joint) |
2021-03-03 16:00 |
Online | Online | What is the true objective of multi-task manifold modeling?
-- Comparison of maximum likelihood and optimal transport approaches -- Ryo Tsuno, Hideaki Ishibashi, Tetsuo Furukawa (KIT) NC2020-52 |
[more] | NC2020-52 pp.53-58 |
| NC, MBE (Joint) |
2021-03-03 16:25 |
Online | Online | Realization of Global Search and Local Search in Particle Multi-Swarm Optimization Hiroshi Sho (Kyutech) NC2020-53 |
For improving search performance and accuracy of pattern classification, this paper proposes a mixed search method of gl... [more] | NC2020-53 pp.59-64 |
| NC, MBE (Joint) |
2021-03-04 09:00 |
Online | Online | Proposal of higher-order tensor independent component analysis for MIMO remote sensing systems Seishiro Goto, Ryo Natsuaki, Akira Hirose (The Univ. of Tokyo) NC2020-54 |
This paper proposes higher-order tensor independent component analysis (HOT-ICA). HOT-ICA is a tensor ICA that makes eff... [more] | NC2020-54 pp.65-70 |
| NC, MBE (Joint) |
2021-03-04 09:25 |
Online | Online | An Estimated Intersections Reduction Method for Percussion Source Separation Based on the U-Net Daisuke Tanaka, Susumu Kuroyanagi (NIT) NC2020-55 |
In the music information processing using drum information, the sound source separation is pre-processed to separate onl... [more] | NC2020-55 pp.71-76 |
| NC, MBE (Joint) |
2021-03-04 09:50 |
Online | Online | Evaluation of effect of source noise on magnetoencephalography source estimation using a structured sparse model Kai Miyazaki, Shun Nirasawa, Kazuaki Akamatsu, Yoichi Miyawaki (UEC) NC2020-56 |
Magnetoencephalography (MEG) is a method to acquire human brain activity at a high temporal resolution, but its spatial ... [more] | NC2020-56 pp.77-82 |
| NC, MBE (Joint) |
2021-03-04 14:10 |
Online | Online | What characteristics are acquired in coding self-motion from visual motion?
-- Reconstruction of statistical relationship by neural network and its internal representation -- Daiki Nakamura, Hiroaki Gomi (NTT) NC2020-57 |
Efficient coding is a prevailing computational models of sensory coding in the brain. If the sensory information is tran... [more] | NC2020-57 pp.83-88 |
| NC, MBE (Joint) |
2021-03-04 14:35 |
Online | Online | An analysis of conductors'body and baton movement: exploring the communication mechanism of music conducting. Nozomi Yamakawa, Yutaka Sakaguchi (UEC) NC2020-58 |
We analyzed the body movement of music conductors, aiming to reveal the mechanism of communication of temporal informati... [more] | NC2020-58 pp.89-94 |
| NC, MBE (Joint) |
2021-03-04 15:00 |
Online | Online | "Piling up bones":An experimental study on functional standing Tajima Hiroyuki, Sakaguchi Yutaka (UEC) NC2020-59 |
Quiet standing has been regarded as the posture to be stable and have less body sway. In our daily life, however, we usu... [more] | NC2020-59 pp.95-100 |
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