Poster Numspeaker

titleauthors

P1-01 Tomoya Taguchi

Network cores of the human functional connectome

Tomoya Taguchi (1), Jun Kitazono (1), Shuntaro Sasai (2), Masafumi Oizumi (1) (1.
Graduate School of Arts and Sciences, The University of Tokyo, 2. Araya Inc.)

P1-02 Matthew J. Holland

New learning systems through novel generalization metrics

Matthew J. Holland (1) (1. Osaka University)P1-03 Kotaro Furuya

Neural Mechanisms of Prepulse Inhibition in Drosophila Larvae

Kotaro Furuya (1), Yuki Katsumata(1), Masayuki Ishibashi (1), Takako Morimoto (2), Toru
Aonishi (1) (1. Tokyo Institute of Technology, 2. Tokyo University of Pharmacy and LifeScience)

P1-04 Atsushi Takagi

A motoric measure of handedness using a smartphone

Atsushi Takagi (1), Hiroaki Gomi (1) (1. Sensory and Motor Research Group, NTT
Communication Science Laboratories)

P1-05 Atsushi Kodama

Dimensionality estimation of neural responses in monkey V4Atsushi Kodama(1), Ko Sakai(1) (1. Department of Computer Science, University ofTsukuba)

P1-06 Kensuke Yoshida

Synaptic plasticity during sleep maximizes information transmission in a spiking
neuron modelKensuke Yoshida (1,2), Taro Toyoizumi (1,2) (1. RIKEN Center for Brain Science, 2. Graduate
School of Information Science and Technology, The University of Tokyo)

P1-07 Kei Majima

Quantum-inspired principal component analysis for exponentially large
dimensional data

Kei Majima (1), Naoko Koide-Majima (2), Noriaki Yahata (1)(1.National Institutes for
Quantum and Radiological Science and Technology, 2.National Institute of Information andCommunications Technology)

P1-08 Shunsuke Kamiya

Quantifying State Transition Cost in Stochastic Neural Systems

Shunsuke Kamiya (1), Genji Kawakita (1), Shuntaro Sasai (2), Jun Kitazono (1), MasafumiOizumi (1) (1. Graduate School of Arts and Sciences, The University of Tokyo, 2. Araya Inc.)

P1-09 Taira Kobayashi

High-performance simulation of multi-compartment models using an explicit
methodTaira Kobayashi, Rin Kuriyama, Tadashi Yamazaki (Graduate School of Informatics andEngineering, The University of Electro-Communications)P1-10 Gennosuke Tasaka

Analysis of intercortical associative-responses depending on the second-orderconditioning

Gennosuke Tasaka(1), Minoru Tsukada(2), Takeshi Aihara(1,2)(1.Graduate School ofEngineering, Tamagawa University, 2. Brain Science Institute, Tamagawa University)

P1-11 Yukako Yamane

Signal causality analysis of marmoset wide-field calcium imaging

Yukako Yamane (1), Teppei Ebina(2), Akitaka Sasagawa (2), Shin-ichiro Terada(2), Masato
Uemura(2), Kenichi Ohki(2), Masanori Matsuzaki(2), Kenji Doya(1) (1. OIST, 2. Univ. Tokyo)P1-12 Kensuke Takada

A spiking neural network model for acquisition and retrieval of the hippocampal Kensuke Takada(1), Tateno Katsumi(1)(1. Graduate School of Life Science and Systems
replay using cholinergic suppression and theta rhythm
Engineering, Kyushu Institute of Technology)

P1-13 Jin Nakamura

Computational Model of Motion Planning Based on Reward-Modulated Reservoir
Jin Nakamura(1), Yuichi Katori(1) (1. Future University Hakodate)Computing with Dynamic Synapse

P1-14 Tomoya Hirayama

Development of distributed brain-body simulation environment Using
Neurorobotics Platform

Tomoya Hirayama (1), Rin Kuriyama (1), Taiki Yamada (1), Tadashi Yamazaki (1) (1.
Graduate School of Information Science and Engineering)P1-15 Naoki Mochizuki

Selection of STDP synapses in feedback connections

Naoki Mochizuki(1),Mihoko Ishida(1),Hideaki Yamamoto(2),Takashi Tanii(1) (1.Faculty ofScience and Engineering,Waseda University, 2.Research Institute of ElectricalCommunication Tohoku University)P1-16 Arisa Fujimoto

Symmetry analysis of eigenvalue distribution of recurrent neural networks

Arisa Fujimoto (1,2), Hideaki Yamamoto (1,2), Satoshi Moriya (2), Shigeo Sato (1,2) (1.
Graduate School of Engineering, Tohoku Univ., 2. Research Institute of ElectricalCommunication, Tohoku Univ.)

P1-17 Yoshiyuki, R, Shiraishi

Hierarchical representation of receptive field property in deep convolutional
neural network (DCNN)

Yoshiyuki R. Shiraishi(1, 2), Takahisa M. Sanada(3) and Tomoyouki Naito(1) (1. Graduate
School of Medicine, Osaka University, 2. Tobacco Science Research Center, Japan Tobacco
Inc, 3. Faculty of Softw

P1-18 Bungo KonishiComparison of complex- and real-valued reservoir computing for aspect
classification by using interferometric SAR data

Bungo Konishi (1), Akira Hirose (1), Ryo Natsuaki (1) (1. Graduate School of Engineering,
The University of Tokyo)

P1-19 Hekiru KURAKAKE

Stimulation and recording of artificial neuronal circuits using two-needle
electrodes and fluorescence calcium imaging

Hekiru Kurakake (1), Naoki Mochizuki (1), Sho Ikeda (1), Hideaki Yamamoto (2), Ayumi
Hirano-Iwata (2,3), Takashi Tanii (1) (1. Waseda Univ., 2. Tohoku Univ. RIEC, 3. Tohoku
Univ. AIMR)

P1-20 Takuya Koumura

Psychophysical Detection Sensitivity in a Neural Network Trained for Sound
Classification

Takuya Koumura (1), Hiroki Terashima (1), Shigeto Furukawa (1) (1. NTT CommunicationScience Laboratories)

P1-21 Yuto Kurihara

The Comparision of Interpersonal Neural Network Between Acquaintance andStranger pairs

Yuto Kurihara (1), Toru Takahashi(2), Rieko Osu(2) (1. Graduate School of Human Science,Waseda University,2. Faculty of Human Science, Waseda University

P1-22 Satoru Mishima

Satoru Mishima (1), Kosei Shibata (1), Maria Rodalyn V. Sanchez (1), Hiroaki Wagatsuma
Investigation of individual differences on EEG classifying three grasping postures toward access-friendly motor rehabilitation(1,2) (1. LSSE, Kyushu Institute of Technology, 2. RIKEN CBS)P2-01 Makoto Fukushima

Signal propagation models for packet-based communication in structural brain
networks

P2-02 Uta Fujimoto

Section selection for brain tumor segmentation on multimodal MRI images using
Uta Fujimoto, Seiki Konishi, Akitoshi Ogawa (Juntendo University)
deep neural network

P2-03 Naoki Nagamatsu

Robustness Evaluation of Direct Feedback Alignment Learning for Analog VLSI
Neural Networks

P2-04 Nobuhiko Wagatsuma

Pathological Effects of an Excitation/Inhibition Imbalance in a Microcircuit Model Nobuhiko Wagatsuma (1), Sou Nobukawa (2), Tomoki Fukai (3) (1. Toho University, 2.
Involving Three Inhibitory Neuron Classes
Chiba Institute of Technology, 3. Okinawa Institute of Science and Technology)

P2-05 Asaki Kataoka

Acquisition of Categorical Latent Representation of Color

Asaki Kataoka (1), Masafumi Oizumi (1) (1. Graduate School of Arts and Sciences, TheUniversity of Tokyo

P2-06 Ryoma Tanase

Feature extraction for tactile shape discrimination examined by principal
component analysis

Ryoma Tanase (1), Hiroaki Gomi (1), (1. NTT Communication Science Labs.

P2-07 Noriyoshi Ichinose

A way of machine-learning to generate categories by constraint of logicalinference

Noriyoshi Ichinose

P2-08 Kazuhiro Sakamoto

The golden mean in dynamic reinforcement learning

Kazuhiro Sakamoto (1,2), (1. Faculty of Medicine, Tohoku Medical and Pharmaceutical
University, 2. Tohoku University, Graduate School of Medicine)P2-09 Taro Maeda

A model of the interaction between conscious memory and subconscious learning Taro Maeda(1,2), Naoki Nishio(1), (1. Information Science & Technology, Osaka University,that self-organizes across the whole brain-Utility of zero representation Part82.CiNet, NICT)

P2-10 Hiroshi Ishiki

Basis of Minimum Variational Free Energy Principle and Its Numerical Aplications Hiroshi Isshiki, Institute of Mathematical Analysis (Osaka)P2-11 Katsuhiko Hasegawa

Numerical simulation of an inferior olivary network model composed of neurons
with fine spatial structuresKatsuhiko Hasegawa (1), Taira Kobayashi (1), Masashi Oogaki (1), Tadashi Yamazaki (1) (1.
Graduate School of Informatics and Engineering, The University of ElectroCommunications)P2-12 Genji Kawakita

Neural manifold alignment for the foundation of brain-to-brain communication

Genji Kawakita (1), Masafumi Oizumi (1) (1. Graduate School of Arts and Sciences, TheUniversity of Tokyo)P2-13 Yuichi Iino

Observation and simulation of C. elegans whole-brain neural activities

Yuichi Iino (1), Daiki Nagata (1), Yu Toyoshima (1), Hirofumi Sato (1), Manami Kanamori(1), Koyo Kuze (1), Moon-Sun Jang (1), Wu Stephen (2), Oe Suzu (3), Yoko Murakami (3),Sayuri Kuge (3), Osamu Hi

P2-14 Takashi Shinozaki

Motion feature extraction by brain-inspired unsupervised learning

Takashi Shinozaki(1) (1. NICT CiNet)

P2-15 Akira Hirose

Influence of regularity in readout electrode arrangement on the performance of a Takehiro Ichimura (1), Ryosho Nakane (1), Gouhei Tanaka (2), Akira Hirose (1) (1. Graduate
spin-wave reservoir computing chip
School of Engineering, The University of Tokyo, 2. IRCN, The University of Tokyo)P2-16 Kaaya Tamura

Discrimination of stimulus sequences by dendritic computation

Kaaya Tamura, Taira Kobayashi, Tadashi Yamazaki (Graduate School of Informatics andEngineering, The University of Electro-Communications)P2-17 Bun Seiichi

An Active Charge Balancer for an Array of Neural Stimulators

Seiichi Bun(1),Megumi Akai(2),Tetsuya Asai(2)(1.Graduate School of Information Scienceand Technology,Hokkaido University,2.Faculty of Information Science andTechnology,Hokkaido University

P2-18 Takuma Sumi

Evaluation of pattern classification properties of artificial neuronal networks
using reservoir computing

Takuma. Sumi (1), Hideaki Yamamoto (1), Satoshi Moriya (1), Taiki Takemuro (1),Tomohiro Konno (1), Shigeo Sato (1), Ayumi Hirano-Iwata (1) (1. Tohoku University)P2-19 Naoki Nishio

A Multilayer Perceptron Learns Orthogonal Complementary Spaces in
Eigenfunction Synchronicity Model -Utility of zero representation of timediscretized information in time-continuous phenomena Part 9-Naoki Nishio(1), Taro Maeda(1,2) (1. Graduate School of Information Science andTechnology, Osaka University, 2. Center for Information and Neural Networks)

P2-20 Tomohito Izumi

Two-Stream Visual Information Processing Model Based on Reservoir Computing Tomohito Izumi (1), Yuichi Katori (1,2) (1. School of Systems Information Science, Futureand Predictive Coding
University Hakodate, 2. Institute of Industrial Science, The University of Tokyo)P2-21 Takeshi Kanda

Similar structures emerge in local cortical networks during quiet wake and NREM Takeshi Kanda (1), Takehiro Miyazaki (1), Kotaro Sakamoto (2), Hideitsu Hino (2), Masashi
sleep
Yanagisawa (1) (1. IIIS, University of Tsukuba, 2. The Institute of Statistical Mathematics)

Makoto Fukushima (1,2), Kenji Leibnitz (2,3) (1. Nara Institute of Science and Technology,
2. National Institute of Information and Communications Technology, 3. Osaka University)

Naoki Nagamatsu(1), Hideki Murakami(1), Seiji Uenohara(2), Takashi Morie(2) (1. National
Institute of Technology, Kurume College, 2. Kyushu Institute of Technology)