Winter Workshop on Mechanism of Brain and Mind 2020
Poster Session Program「脳と心のメカニズム」冬のワークショップ 2020

Jan 8, 2020

21:00 - 23:00

1

Convergence Analysis of FORCE Learning Algorithm for Reservoir
ComputingTamura H*, Fujiwara K, Tanaka G (Univ of Tokyo)

2

Working memory performance of an echo state network with distributed
time constants

Tomohiro Miki*, Yuji Kawai, Jihoon Park, Minoru Asada (Osaka Univ)

3

Failure as a reinforcement in motor learning

Kunavar T* (1), Camernik J (1), Kawato M (2), Oztop E (3), Babic J (1)(1. JSI, 2. ATR, 3. Ozyegin Univ)

4

Contrasting Human and Machine Intelligence for Program Comprehension

Itoh TD* (1), Kubo T (1), Ikeda K (1,2), Ikutani Y (1), Maruno Y (2),Hata H (1), Matsumoto K (1), Ikeda K (1) (1. NAIST, 2. KWU)

5

Simulating altered inference of uncertainty in autism spectrum disorders
using a variational recurrent neural network model

Soda T*(1, 2), Ahmadi A(3), Tani J(4), Hoshino M(1), Honda M(1),Hanakawa T(1), Yamashita Y(1) (1. NCNP, 2. TMDU, 3. CSIRO, 4. OIST)

6Toward Identifying the Neural Basis of Programming Expertise: an fMRI
Study with Expert Programmers

Yoshiharu Ikutani*(1), Takatomi Kubo(1), Satoshi Nishida(2),Hideaki Hata(1), Kenichi Matsumoto(1), Kazushi Ikeda(1),Shinji Nishimoto(2), (1.NAIST, 2.NICT CiNet)

7

Investigation of computational memory models

Taewon Park* (1), Inchul Choi (1), Kazushi IKEDA (2), Minho Lee (1)(1. Kyungpook National Univ, 2. Nara Institute of Science andTechnology)

8

Deep transfer learning mediated by human brain information

Satoshi Nishida*(1), Yusuke Nakano(1), Blanc Antoine(1),Naoya Maeda(2), Masataka Kado(2), Shinji Nishimoto(1)(1. NICT, 2. NTT DATA)

9

Locally Weighted CNMPs for Generating Flexible Action Sequences

Alper Ahmetoglu (Bogazici University), Yunus Seker (BogaziciUniversity), Erhan Oztop (Osaka University/Ozyegin University),
Minoru Asada (Osaka University), Emre Ugur* (Bogazici University)

10
111213

Representation and grounding of abstract concepts: a preliminary
investigation
Formation of Connectivity between Spiking Neural Networks with
Balanced Excitation and Inhibition
EEG beta-rebound in response to perturbation during upright standingmay reflect an active postural stabilization process

1617

Jihoon Park*, Yuji Kawai, Minoru Asada (Osaka University)
Nakamura A*, Suzuki Y, Milosevic M, Nomura T (Osaka Univ)

How Does a Client Feel Empathy from a Counselor? - Analyses of Speech

Chie Hieida*, Jyh-Jong Hsieh, Yuji Kawai, Minoru Asada

Contents and Facial Expressions -(Osaka University)

14 Breast tumor and stroma Segmentation using U-Net
15

Ho-Ching Chiu*, Kenji Doya (OIST)Limitations of data-driven approaches in the meteorology ~A case ofautomatic dvorac technique with CNN~

Taira H*, Miyata R, Kurata K, Sato W, Matsumoto K, Abe N,Takamatsu R, Matsumoto H, Yoshimi N (Ryukyu Univ)
Higa M*, Nakama S, Ito K, Yamada H, Miyata R (Univ Ryukyu)

Estimating Alzheimer's disease genes with unsupervised machine learning

Fujisawa K* (1), Ikematsu S (2), Miyata R (1)and enrichment analysis(1. Univ Ryukyu, 2. NIT, Okinawa college)

Bus route proposal from the viewpoint of network analysis for University
MaaS demonstration experiment in Okinawa

Shimoya Y*, Higa M, Yoshida H, Kamiya D, Miyata R (Univ Ryukyu)

18 Typhoon intensity estimation from a satellite image using CapsNet

Nakama S*, Higa M, Ito K, Yamada H, Miyata R (Univ Ryukyu)

19 Proposal of Exposure therapy Optimization based on symptom dynamics

Chiba T*, Ide K, Cortese A (ATR), et al.

20 MMNを用いたプローブ法の有効性の検討

三上慧吾*,浦川智和,今井謙太朗,小幡拓也,荒木修(東京理科大学)

21 vMMNは特性不安を反映しない

空閑弘将*,浦川智和,今仁拓弥,栗田佑騎,荒木修(東京理科大学)

22 聞き手の印象を左右する音楽的特徴のニューラルネットワークモデルによる解析

高橋秀岳*、浦川智和、荒木修(東京理科大学)

23 Reservoir based predictive coding model

Katori Y (Future University Hakodate)24

Consciousness Boundary: Claustrum defines the imaginary area of thecortex

Hiroshi Yamakawa (RIKEN, WBAI)

25

Bayesian multiple clustering and its application to multimodal data
analysis: Toward biological subtyping of mental disorders

Yoshimoto J* (1), Tokuda T (2,3), Shimizu Y (3), Doya K (3), Okada G(4), Takamura M (4), Okamoto Y (4), Yamawaki S (4)(1. NAIST, 2. ATR, 3. OIST, 4. Hiroshima Univ.)

26

Toward Realizing Reinforcement Learning in a Whole-Brain Spiking NeuralNetwork Model

Gutierrez*(1),Lienard(1),Girad(2),Sun(3),Morteza(3),Yamaura(4),Igarashi(3),Yamazaki(4),Diesmann(5),Plesser(6),Arbuthnott(1),Morin(7),Doya(1)(1.OIST,2.ISIR,3.RIKEN,4.UEC,5.INM-6,6.NMBU,7.TUM)

27

Investigating human effort vs. danger tradeoff in squat-to-standmovements via inverse reinforcement learning

Emir Arditi (1), Berkay Bayram(1), Tjasa Kunavar(2), Emre Ugur(3),JanBabic(2), Erhan Oztop*(1,4) (1.Ozyegin University 2.Jozef StefanInstitute, 3.Bogazici University, 4.Osaka University)* : PresenterWinter Workshop on Mechanism of Brain and Mind 2020
Poster Session Program「脳と心のメカニズム」冬のワークショップ 2020

Jan 9, 2020

20:00 - 23:00

1

The effect of a small-world topology on synchronization between two
Kuramoto-oscillator networks

Kentaro S*, Minoru A, Jihoon P, Yuji K (Osaka Univ)

2

In vivo calcium imaging with a single-cell resolution using “COSMO-Scope”,
a fast scanning and wide-field two-photon microscope

Ota K*, Murayama M (RIKEN CBS), et al.

3

Different statistical relationship between self-motion and visual motion
could alter the spatiotemporal tuning of quick visuomotor responses

Daiki Nakamura*, Hiroaki Gomi (NTT Communication Science Labs.)

4

Divisively normalized neural processing of uncertain visual feedback by
the visuomotor adaptation system

Yuto Makino*(1), Hayashi Yakuji(2,3), Daichi Nozaki(1) (1. Tokyo Univ,
2. Harvard Uni, 3. Tokyo Univ of Agriculture and Technology)

5

Behavior state space analysis and behavior control using machine learning

Keita Mori*, Haoyu Wang, Naohiro Yamauchi, Ken Sato,
Yu Toyoshima, Yuichi Iino (Univ. of Tokyo)

6

Multiple Animal Pose Tracking for Social Behavior Analysis

Murashige S*, Kubo T (NAIST), Nagasawa M, Kikusui T (Azabu Univ),
Ueda E, Takimoto-Inose A (Hokkaido Univ), Ikeda K (NAIST)

7

Learning Dynamics of Two-layered Neural Network with Batch
Normalization -- Statistical Mechanical Analysis

Shiro Takagi* (Univ Tokyo), Yuki Yoshida (Univ Tokyo),
Masato Okada (Univ Tokyo)

8

Localized Generations with Self-Supervised Meta-Learning

Yoshihiro Nagano*, Shiro Takagi, Yuki Yoshida, Masato Okada(UTokyo)

9

Development and applications of 3D markerless motion capture systems
for analyzing monkey behavior

Matsumoto J*, Nishijo H (Univ of Toyama), Mimura K (Natl Inst
Radiological Sci), Inoue K (Kyoto Univ), Go Y (National Inst Nat Sci),
Shibata T (Kyushu Inst Tech)

Visual colour-temperature relationship is shared by textures of various

Terashima H*† (1), Ho HN† (1), Wakamatsu K (2), Kwon J (3, 4),Sakamoto M (3), Nakauchi S (2), Nishida S (1, 5) (1. NTT, 2. Toyohashi

1011materials
A preliminary study on quantification of behavioral changes after sciatic
nerve ligation in rats
The Self-enhancement Effect at the Implicit Perceptual and Explicit

12 Evaluation Levels: Their Complementary Relationship and the Dominanceof the Former in the Eastern

1314

Ventral midbrain to M1 pathway contributes to motivated motor outputs
in humans
Development of the smart-speaker skill to foster the ability of thinking
logically like programming ~Applying deterministic finite automaton toprogramming education~

15 Applying YOLO to tracking players and a ball in tennis games

Tech, 3. UEC, 4. Kyoto Univ of Education, 5. Kyoto Univ) (†Equal)
Panyawut Sriiesaranusorn*(1), Saeka Shimochi(2), Naoki Ono(1),Emrah Yatkin(2), Kazushi Ikeda(1), Junichiro Yoshimoto(1) (1. NAIST,2. Univ. Turku)
Ding Y*(1,2), Deng J(2), Sugiura M(1), Hu CP(3) (1.Tohoku Univ, 2.
Hubei Univ, 3. Univ Medical Center Mainz)
Sho K. Sugawara*(1), Yoshihisa Nakayama(1), Tetsuya Yamamoto(2),Yuki H. Hamano(2), Masaki Fukunaga (2,3), Norihiro Sadato(2,3), Yukio
Nishimura (1) (1. TMiMS, 2. NIPS, 3. SOKENDAI)
Yoshida H* (1), Kanemune S (2), Okamoto M (1), Hinokuma T (1),Miyata R (1) (1. Univ Ryukyu, 2. OECU)
Yoshida S*, Fujisawa K, Kitajima E, Miyata R (Univ Ryukyu)

16

On the possibility of the existence of cells to reflect one's behavior in theVP and NAc regions

Sugiura I*(1),Irei T(1),Kurata K(1),Doya K(2),Miyata R(1)(1.Univ Ryukyu,2.OIST)

17

Feature extraction of human joint angles for wheel gymnastics using
random forests

Kitajima E* (1), Sato T (2), Miyata R (1) (1. Univ Ryukyu, 2. NIT,
Okinawa College)

知覚・運動系間の時間間隔の共通表現が時間的エラーモニタリングの低感度を説明

18 する Common representation of time interval between perceptual andMitani K*, Sakai Y (Tamagawa Univ), Kashino M (NTT, Tokyo Tech)

motor systems explains low sensitivity of temporal error monitoring

19 マウスにおける巣作り行動の責任脳部位の探索

田川菜月*, 森啓太, 古戎道典, 饗場篤, 飯野雄一(東大)20 早期視覚情報処理の抑制がWM performanceに反映されるか?

小幡拓也*, 浦川智和, 和田莉奈, 荒木修 (東京理科大)

21 顔感情が視覚的意識へのアクセスに与える影響

伊藤裕樹*,浦川智和, 高橋恵里香,栗田佑騎, 今仁拓弥,荒木修 (東京理科大)22 両眼視野闘争における Flash suppression / facilitation の神経回路モデル

後藤啓嗣*, 浦川智和, 荒木修 (東京理科大学)

23 時間的注意によるAffective Primingの促進はISIに依存するのか

今仁拓弥*, 浦川智和, 大西剛仁, 栗田佑騎, 荒木修 (東京理科大学)

24

Quantitative models reveal the cortical representation of linguistic
information modulated by selective attention

Tomoya Nakai* (1,2), Hiroto Q. Yamaguchi (1,2), Shinji Nishimoto (1,2)(1. NICT, 2. Osaka Univ)25

統合失調症における脳内意味ネットワーク異常:エンコーディングモデルとグラフ理論解析を用いて

松本有紀子*(1),西田知史(2),孫樹洛(3),村上晶郎(3),吉川長伸(4),林隆介(5),西本伸志(2),高橋英彦(1) (1.医科歯科大,2.CiNet,3.京大,4.阪大,5.産総研)

26

Eigenvector centrality reveals profile of cerebral network during moviewatching

Akitoshi Ogawa (Juntendo Univ)

27 物体想起時の脳活動を利用した意思表示松尾 健* : Presenter,†: equally contributed