Advances in Cognitive Neurodynamics

Series editor

Rubin WangEast China University of Science and Technology, Shanghai, China

More information about this series at http://www.springer.com/series/11163

Rubin Wang • Xiaochuan PanEditors

Advances in CognitiveNeurodynamics (V)Proceedings of the Fifth InternationalConference on CognitiveNeurodynamics – 2015

123

EditorsRubin WangInstitute for Cognitive NeurodynamicsEast China University of Scienceand Technology

ShanghaiChina

Xiaochuan PanInstitute for Cognitive NeurodynamicsEast China University of Scienceand Technology

ShanghaiChina

ISSN 2213-3569 ISSN 2213-3577 (electronic)Advances in Cognitive NeurodynamicsISBN 978-981-10-0205-2 ISBN 978-981-10-0207-6 (eBook)DOI 10.1007/978-981-10-0207-6

Library of Congress Control Number: 2015954585

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Preface

The 5th international conference on cognitive neurodynamics (ICCN2015) washeld in Sanya, China, from June 3 to 7, 2015. It is one of the series conferences heldbiennially since 2007, with support from the international journal “CognitiveNeurodynamics” (Springer).

The research field of cognitive neurodynamics is the frontier of combiningexperimental and computational neuroscience with cognitive neuroscience. It hasbeen realized that our cognition happens in nonlinear and dynamic brain systems. Itis essential to understand cognition from the view of its dynamic processes.Experimental researchers have developed various methods, such as patch clamptechnology, single/multi-unit(s) recording, fMRI, EEG, and so on to collect hugedata. At the same time, mathematical methods and modeling are applied tounderstand and reveal dynamic principles in brain structure, functions, andbehavior. Undoubtedly, cognitive neurodynamics is highly interdisciplinary, whereresearchers from neuroscience, cognitive neuroscience, mathematics, physics,computer science, and so on contribute together to the advance in this field. Theseries conferences of ICCN provide very good opportunities for scientists fromvarious fields to review their achievements, to share their ideas, and to promote thedevelopment of this field.

ICCN2015 was held in the southernmost city (Sanya) in Hainan Island. In total,more than 200 participants from over 20 countries participated in the conference.The local temperature was high in June. However, the hot atmosphere seemed tostimulate and inspire warm and creative discussions during the conference period.Participants shared the latest progress in their research fields, exchanged experi-ences and ideas in the conference rooms, on the tables beside the swimming pool,and at the seashore near the hotel.

In ICCN2015, there were 12 plenary talks by leading scientists in the field ofcognitive neurodynamics, 17 oral min-symposiums, and one poster session. Theplenary speakers were: Profs. Stephen Scott, Hans Liljenström, Barry Richmond,Aike Guo, Ichiro Tsuda, Stephen Grossberg, Masamichi Sakagami, Kenji Doya,Xiaojing Wang, Bernard Balleine, Wei Wang, and Dewen Hu. The organizers

v

of the min-symposiums were Drs. Taishin Nomura, Stephen Scott, Jan Lauwereyns,José M. Delgado-García, Yanchao Bi, Qingyun Wang, Jianzhong Su, DaishiWatabe, Tomasz M. Rutkowski, Jianting Cao, Hans Liljenström, Hans albertBraun, Masamichi Sakagami, Bernard Balleine, Yutaka Yamaguti, Yuichi Katori,Hiromichi Tsukada, Jianhua Zhang, Jochen Mau, Yuanqing Li, Cuntai Guan,Andizej Cichocki, Dezhong Yao, Daqing Guo, Changsong Zhou, Hongbo Yu, andYufang Yang. The topics of the conference covered almost all the branches ofcognitive neurodynamics, from micro-, meso- to macro-level dynamics, theirapplications and some related topics, especially including neural coding, realisticneural networks, oscillation and synchronization, neural population dynamics,sensory and motor dynamics, EEG, fMRI and brain imaging, global cognitivefunctions, multiscalar neurodynamics, neural computing, brain computer interface,and cognition disorder.

This volume fairly well covered the large span of research presented inICCN2015. The papers in this volume were organized as the following ten parts:(I) Plenary Talk; (II) Neural Dynamics in Motor and Sensory Systems;(III) Interactive Dynamics in Cognitive Functions; (IV) Neural Dynamics inHippocampus; (V) Imaging Cognitive Networks; (VI) Advanced Brain ComputerInteraction; (VII) Neuroinformation Computation and Neuroengineering; (VIII)Modeling Higher-order Functions and Dysfunctions; (IX) Multi-scale NeuralNetwork Dynamics and (X) Oscillation, Synchronization and Synaptic Plasticity. Itis our great pleasure to notice the high quality of the contributions. We would liketo thank all the contributing authors.

Taking this opportunity, we wish to express our gratitude to all those whocontributed to ICCN2015, especially to the plenary speakers, the min-symposiumorganizers, and the helpful students who assisted during the conference. Wegratefully acknowledge support from East China University of Science andTechnology, the journal “Cognitive Neurodynamics” by Springer, The NationalNatural Science Foundation of China, Chinese Society for Neuroscience, andChinese Society of Theoretical and Applied Mechanics.

Shanghai Rubin WangOctober 2015 Xiaochuan Pan

vi Preface

Sponsors and Organizer

This conference is sponsored by

Chinese Society of Theoretical and Applied Mechanics (CSTPM)East China University of Science and Technology (ECUST), P.R. China“Cognitive Neurodynamics” published by SpringerThe National Natural Science Foundation of China

Co-sponsored by

Brain Engineering Society of KoreaBrain Science Center, Tamagawa University, JapanBrain Science Research Center, KAISTInternational Neural Network Society (INNS)Japan Society for Neural Network (JSNN)Shanghai Society for Nonlinear Science (SSNS)

Organized by

Institute for Cognitive Neurodynamics, East China University of Science andTechnology

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Organizing Committee

Honorary Chairs

Amari, Shun-ichi, RIKEN Brain Science Institute, JapanFreeman, Walter J., University of California, Berkeley, USAGuo, Aike, Institute of Neuroscience, CAS, ChinaKopell, Nancy J., Boston University, USARichmond, Barry J., NIMH/NIH/DHHS, USATsukada, Minoru, Tamagawa University, Japan

General Chair

Wang, Rubin, East China University of Science and Technology, China

General Co-chairs

Delgado-García, José María, Universidad Pablo de Olavide, SpainLiljenström, Hans, SLU and Agora for Biosystems, SwedenTsuda, Ichiro, Hokkaido University, Japan

Scientific Committee Chairs

Adeli, Hojjat, The Ohio State University, USALauwereyns, Jan, Kyushu University, Japan

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Lee, Soo-Young, Korea Advanced Institute of Science and Technology, Republicof KoreaPan, Xiaochuan, East China University of Science and Technology, ChinaVilla, Alessandro, Université de Lausanne, SwitzerlandYu, Hongbo, Fudan University, China

Secretary General

Secretary General: Ms. ChrisProgram Secretary: Xu Xuying, Ni Li, Zhu Yating, Zheng Hongwen

Scientific Committee Members

Aihara, Kazuyuki, The University of Tokyo, JapanBabilloni, Fabio, University of Rome, ItalyBeim Graben, Peter, Institute of Linguistics, Universitat Potsdam, GermanyBi, Yanchao, Beijing Normal University, ChinaBorisyuk, Roman, Russian Academy of Science/University of Plymouth, UKCao, Jianting, Saitama Institute of Technology, JapanCao, Jinde, Southeast University, ChinaDeco, Gustavo, Universitat Pompeu Fabra, SpainDuch, Wlodzislaw, Nicolaus Coperinicus University, PolandErdi, Peter, Kalamazoo College, HungaryFukai, Tomoki, RIKEN Brain Institute, JapanGao, Xiaorong, Tsinghua University, ChinaGu, Huaguang, Tongji University, ChinaHari, Riitta, Aalto University, FinlandHoffmann, Klaus-Peter, Ruhr University Bochum, GermanyHu, Dewen, National University of Defense Technology, ChinaJiang, Tianzi, NLPR, Institute of Automation, CAS, ChinaKay, Leslie, University of Chicago, USAKozma, Robert, University of Memphis, USALappe, Markus, The University of Münster, GermanyLi, Yuanqing, South China University of Technology, ChinaLiang, Pei-ji, Shanghai Jiao Tong University, P.R. ChinaLin, Longnian, East China Normal University, ChinaLongtin, Andre, University of Ottawa, CanadaLu, Qishao, Beihang University, ChinaNara, Shigetoshi, Okayama University, JapanNeskovic, Pedja, Brown University,USAOgmen, Haluk, University of Houston, USA

x Organizing Committee

Príncipe, José C., University of Florida, USARen, Wei, Shannxi Normal University, ChinaSi, Bailu, Shenyang Institute of Automation, CAS, ChinaSporns, Olaf, Indiana University, USATanaka, Toshihisa, Tokyo University of Agriculture and Technology, JapanTeich, Malvin Carl, Boston University, USATrappenberg, Thomas, Dalhousie University, CanadaTreves, Alessandro, International School for Advanced Studies (SISSA), ItalyTyrcha, Joanna, Stockholm University, SwedenVan Leeuven, Cees, RIKEN Brain Science Institute, JapanVentriglia, Francesco, Institute of Cybernetics of CNR, ItalyWang, Deliang, Ohio State University, USAWang, Qingyun, Beihang University, ChinaWei, Hui, Fudan University, ChinaWright, James, Auckland University, New ZealandWu, Si, Institute of Neuroscience, CAS, ChinaXu, Jianxue, Xi’an Jiaotong University, ChinaYang, Yufeng, Institute of Psychology, CAS, ChinaYao, Dezhong, University of Electronic Science and Technology of China, ChinaZhang, Jianhua, East China University of Science and Technology, ChinaZhang, Liqing, Shanghai Jiao Tong University, ChinaZhang, Tao, Nankai University, ChinaZhou, Jin, Shanghai University, China

Home Pageiccn2015.ecust.edu.cn

Organizing Committee xi

Contents

Part I Plenary Talk

1 Putting Sensory Back into Voluntary Motor Control . . . . . . . . . . 3Stephen H. Scott

2 Is Visual Processing in Primates Strictly Hierarchical?. . . . . . . . . 9Mark A.G. Eldridge, Samarth Chandra and Barry J. Richmond

3 Self-organization of a Second Kind: General Scopeand a Cortical Case Study . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 13Ichiro Tsuda

4 Toward Autonomous Intelligence: From Active 3D Visionto Invariant Object and Scene Learning, Recognition,and Search. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 17Stephen Grossberg

5 The Cognitive Control of Goal-Directed Action: How PredictiveLearning Affects Choice . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 27Bernard W. Balleine

6 Functional Connectivity Mapping of Decision-Makingin Drosophila Melanogaster . . . . . . . . . . . . . . . . . . . . . . . . . . . . 35Aike Guo, Ke Zhang, Q.Z. Ren, H.F. Su and N.N. Chen

7 Neurodynamics of Decision-Making—A ComputationalApproach. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 41Azadeh Hassannejad Nazir and Hans Liljenström

8 Brain Pattern Analysis Based on MagneticResonance Imaging. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 49Dewen Hu

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9 Dopamine Prediction Errors and the Relativity of Value . . . . . . . 53Masamichi Sakagami and Shingo Tanaka

10 The Neural Mechanism of Direction- and Orientation-SelectiveNeurons for Processing Direction, Speed, and Axis of Motionin Early Visual Cortices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 57Hongliang Gong, Xu An, Liling Qian, Jiapeng Yin, Yiliang Luand Wei Wang

Part II Neural Dynamics in Motor and Sensory Systems

11 Stability and Flexibility During Human Motor Control . . . . . . . . 67Taishin Nomura, Yasuyuki Suzuki, Chunjiang Fu,Naoya Yoshikawa, Ken Kiyono, Maura Casadio and Pietro Morasso

12 Context-Dependent Human Motor Memories: Function,Implementation, and Manipulation . . . . . . . . . . . . . . . . . . . . . . . 75Daichi Nozaki

13 A Model of Gait Cycle Variability During Human Walking . . . . . 79Chunjiang Fu, Yasuyuki Suzuki, Ken Kiyono and Taishin Nomura

14 Coordinate Systems in the Motor System: ComputationalModeling and EEG Experiment . . . . . . . . . . . . . . . . . . . . . . . . . 85Hirokazu Tanaka, Makoto Miyakoshi and Scott Makeig

15 Simulation Study on Neuromuscular Model-Inspired ControlStrategy for Variable Stiffness Actuators . . . . . . . . . . . . . . . . . . . 93Jun Zhu, Yu Wang and Heng Cao

16 Changes in the Inner Gene Expression of Lateral OlivocochlearReceptors After the Loss of the Descending Cortical Pathway . . . 101Miguel A. Merchan, Veronica Lamas and Jose Manuel Juiz

17 Effect of Parvalbumin Deficiency on Distributed Activityand Interactions in Neural Circuits Activated by InstrumentalLearning . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111Agnès Gruart, José Maria Delgado-García and Alessandra Lintas

18 Dynamic Patterns of Cortical Activation During Different Typesof Learning Tasks and Unpredictable Situations . . . . . . . . . . . . . 119José M. Delgado-García, Raudel Sánchez-Campusano,Iván Fernández-Lamo and Agnès Gruart

19 The Application of Spatiotemporal Energy Modelin the Simulation of Population Responses in EarlyVisual Cortices . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 127Yiliang Lu, Xu An, Hongliang Gong and Wei Wang

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20 Aspect Ratio of the Receptive Field Makes a Major Contributionto the Bandwidth of Orientation Selectivity in Cat V1 . . . . . . . . . 133Tao Xu, Ming Li, Ke Chen, Ling Wang and Hong-Mei Yan

21 Nonlinear Dynamical Analysis of Spontaneous EEG Recordingsin Rats After Chronic Spinal Cord Injury . . . . . . . . . . . . . . . . . . 143Pu Jiangbo, Xu Hanhui, Wang Yazhou, Cui Hongyan and Hu Yong

Part III Interactive Dynamics in Cognitive Functions

22 Causality in Neuroscience and Its Limitations: Bottom-up,Top-down, and Round-About . . . . . . . . . . . . . . . . . . . . . . . . . . . 153Hans A. Braun

23 Decisions and Downward Causation in Neural Systems . . . . . . . . 161Hans Liljenström and Azadeh Hassannejad Nazir

24 Top-down and/or Bottom-up Causality: The Notion ofRelatedness in the Human Brain . . . . . . . . . . . . . . . . . . . . . . . . . 169Kim C. Wende and Andreas Jansen

25 Overviewing Causality or Over-Interpreting Noise: Is ModernNeuroscience Shaping Our View of the Human Mind? . . . . . . . . . 177Kim C. Wende and Andreas Jansen

26 Theoretical Models of Decision-Making in the Ultimatum Game:Fairness vs. Reason . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 185Tatiana V. Guy, Miroslav Kárný, Alessandra Lintasand Alessandro E.P. Villa

27 Dynamic Interactions in Prefrontal Functional ConnectivityDuring Adolescence . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 193Xin Zhou, Emilio Salinas, Terrence R. Stanfordand Christos Constantinidis

28 Causal Interaction Between Prefrontal Cortex and StriatumEstimated by Granger Causality . . . . . . . . . . . . . . . . . . . . . . . . . 199Xiaochuan Pan, Rubin Wang and Masamichi Sakagami

29 Two Strategies for Interactive Planning . . . . . . . . . . . . . . . . . . . . 207Jiro Okuda

30 TMS-EEG for Probing Distinct Modes of Neural Dynamicsin the Human Brain . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 211Keiichi Kitajo and Yuka O. Okazaki

31 Estimating Information Transmission Time Between PrefrontalCortex and Striatum by Transfer Entropy. . . . . . . . . . . . . . . . . . 217Kaidi Shao, Xiaochuan Pan and Rubin Wang

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32 Reward-Modulated Functional Connectivity Between PrefrontalCortex and Striatum. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 225Yan Zhang, Xiaochuan Pan and Rubin Wang

33 On the Role of Intrinsic Rewards in Communication . . . . . . . . . . 233Jan Lauwereyns and Shizuka Sakurai Lauwereyns

Part IV Neural Dynamics in Hippocampus

34 Hydrogen Sulfide Prevents Synaptic Plasticity from VascularDementia-Induced Damage via Inhibiting Autophagy on Rats . . . 241Chunhua Liu, Tao Zhang and Zhuo Yang

35 The Impact of Nasal Copper Nanoparticle Exposure on Rats’Synaptic Plasticity and Spatial Cognition. . . . . . . . . . . . . . . . . . . 249Ye Liu, Wei Guan, Jinzhe Liu and Zhuo Yang

36 Theta Phase Time-Delayed Modulating Low Gamma Amplitudein Hippocampal CA3–CA1 Network . . . . . . . . . . . . . . . . . . . . . . 259Chenguang Zheng, Qun Li, Yiyi Wang and Tao Zhang

37 Roles of DA and 5-HT in Modulating Neural OscillatorySynchronization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 267Chenguang Zheng and Tao Zhang

38 Dynamic Information Routing in the Hippocampus . . . . . . . . . . . 275Hiroshi Nishida, Muneyoshi Takahashi and Jan Lauwereyns

39 Rule Switching Affects Cross-Frequency Couplingsin Rat Hippocampus. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 283Tomoaki Nakazono, Susumu Takahashi and Yoshio Sakurai

Part V Imaging Cognitive Networks

40 Functional Connectivity Analysis of Cognitive ReappraisalUsing Sparse Spectral Clustering Method . . . . . . . . . . . . . . . . . . 291Ling Zou, Yi Xu, Zhongyi Jiang, Zhuqing Jiao, Changjie Panand Renlai Zhou

41 Theta Coupling in the Human EEG During the Controlof Bottom-up and Top-down Attention . . . . . . . . . . . . . . . . . . . . 299Dandan Zhao and Ling Li

42 Phase-Dependent Alteration of Functional Connectivity DensityDuring Face Recognition in the Infra-slow Frequency Range . . . . 305Yifeng Wang, Feng Liu, Xiujuan Jing, Zhiliang Longand Huafu Chen

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43 The Supramodal Brain Network for the Recognition of Facesand Bodies: Is Visual Experience Necessary for the Developmentof High-Order Visual Cortices?. . . . . . . . . . . . . . . . . . . . . . . . . . 311Ryo Kitada

44 Over-Complete Analysis for Resting-State fMRI Data . . . . . . . . . 317Ruiyang Ge, Li Yao, Hang Zhang, Xia Wu and Zhiying Long

45 Decoding Brain States with Simulated Microgravityfrom Baseline Using Functional Connectivityof Default Network . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 325Ling-Li Zeng, Yang Liao, Hui Shen, Xufeng Liu and Dewen Hu

46 Experimental Studies on the Contralateral Regulationof Cerebral Blood Flow Using a Patient-Specific AneurysmModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 331Lizhong Mu, Ying He, Junyuan Chen, Xunjie Yu, Jianhui Wei,Changjin Ji and Jiaqi Lv

47 A Robust Coherence-Based Brain Connectivity Methodwith an Application to EEG Recordings . . . . . . . . . . . . . . . . . . . 339Jiaqing Yan, Jianbin Wen, Yinghua Wang, Xianzeng Liuand Xiaoli Li

Part VI Advanced Brain Computer Interaction

48 Robust Averaging of Covariance Matrices by RiemannianGeometry for Motor-Imagery Brain–Computer Interfacing . . . . . 347Takashi Uehara, Toshihisa Tanaka and Simone Fiori

49 Vibrotactile Brain–Computer Interface with Error-DetectingCodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 355Sittipong Apichartstaporn, Kitsuchart Pasupaand Yoshikazu Washizawa

50 Sparse Support Vector Machine for Simultaneous FeatureSelection and Classification in Motor-Imagery-Based BCI . . . . . . 363Yu Zhang, Yu Wang, Jing Jin and Xingyu Wang

51 QEEG Coherence Evaluation for Soccer Performance LevelAnalysis of the Striker . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 371Kittichai Tharawadeepimuk and Yodchanan Wongsawat

52 BCI-Based Mobile Phone Using SSVEP Techniques . . . . . . . . . . . 379Dongsheng Wang, Toshiki Kobayashi, Gaochao Cui,Daishi Watabe and Jianting Cao

Contents xvii

53 Two-Step Input Spatial Auditory BCI for Japanese KanaCharacters . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 383Moonjeong Chang and Tomasz M. Rutkowski

54 Resting-State Long-Range Functional Connectivity DensityReveals Sensorimotor Rhythm-Based BCI PerformanceVariations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 391Rui Zhang, Tao Zhang, Teng Ma, Fali Li, Dezhong Yaoand Peng Xu

55 On the Correlations of Motor Imagery of Swallow with MotorImagery of Tongue Movements and Actual Swallow . . . . . . . . . . 397Huijuan Yang, Cuntai Guan, Chuan Chu Wang, Kai Keng Ang,Kok Soon Phua, See San Chok, Christina Ka Yin Tangand Karen Sui Geok Chua

56 Recent Approaches of Magnetic Measurement of Brain Signalsfor Brain–Computer Interface. . . . . . . . . . . . . . . . . . . . . . . . . . . 405Ming Xu, Jun Jiang, Zongtan Zhou and Dewen Hu

57 Generic Channels Selection in Motor Imagery-Based BCI . . . . . . 413Zhaoyang Qiu, Jing Jin, Yu Zhang and Xingyu Wang

58 Signal Interpolation Method for EEG Deviceswith Shared ADC . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 421Gen Hori

Part VII Neuroinformation Computation and Neuroengineering

59 Systems Neuroergonomics . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 431Jochen Mau

60 A Bayes Classifier Based on Multiscale Features in Brain DeathDiagnosis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 439Li Ni, Jianting Cao and Rubin Wang

61 Classification of Children with Attention Deficit HyperactivityDisorder Using PCA and K-Nearest Neighbors DuringInterference Control Task. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 447Jiaojiao Yang, Wenjie Li, Suhong Wang, Jieru Lu and Ling Zou

62 Neural Mass Model-Based Scale-Free EEG Music . . . . . . . . . . . . 455Dezhong Yao, Mingming Chen, Jing Lu and Daqing Guo

63 Design of Visual Stimulation System with LED in the Studyof Spatial Selective Attention. . . . . . . . . . . . . . . . . . . . . . . . . . . . 461Songyun Xie, Linan Wang, Klaus Obermayer and Fangshi Zhu

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64 Neurophysiological Feature-Based Detection of MentalWorkload by Ensemble Support Vector Machines . . . . . . . . . . . . 469Zhong Yin, Jianhua Zhang and Rubin Wang

65 Cardiovascular to Intracranial Transmission Characteristicsfor Hydrocephalus . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 477Berno J.E. Misgeld, Rajib Mondal and Steffen Leonhardt

66 Study on Single-Channel EEG Pattern Inducedby Acupuncture . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 485Tinglin Zhang, Guang Li and Hans Liljenström

67 Modeling of Adaptive Human–Machine Systems Based on FuzzyInference Petri Nets . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 493Jiajun Xia, Jianhua Zhang and Rubin Wang

68 Autonomic Learning Framework Based on Behavior Policy . . . . . 501Decai Li and Yuqing He

69 Estimation of Operator Functional State Using EEGData-Driven Fuzzy Models with Entropy-Based Partition . . . . . . . 511Jianhua Zhang, Shaozeng Yang, Zhong Yin and Rubin Wang

70 Restoring Latency-Variable ERP Components from SingleTrials: A New Approach to ERP Analysis with Residue IterationDecomposition (RIDE) . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 519Guang Ouyang, Werner Sommer and Changsong Zhou

71 Re-examination of Chinese Semantic Processing and SyntacticProcessing: Evidence from Conventional ERPs andReconstructed ERPs by Residue Iteration Decomposition(RIDE). . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 527Fang Wang, Guang Ouyang, Changsong Zhou and Suiping Wang

72 Improved Source Localization of Priming Effect of FaceRecognition Based on RIDE . . . . . . . . . . . . . . . . . . . . . . . . . . . . 533Rajan Kashyap, Guang Ouyang, Werner Sommerand Changsong Zhou

73 Integration of Facial and Vocal Cues in the Perceptionof Bimodal Emotion Changes . . . . . . . . . . . . . . . . . . . . . . . . . . . 541Xuhai Chen, Zhihui Pan, Linzi Han and Ping Wang

74 Pre-attentive Processing of Mandarin Tone and Intonation:A Mismatch Negativity Study . . . . . . . . . . . . . . . . . . . . . . . . . . . 549Guiqin Ren, Qi Sun and Shuang Li

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75 Cognitive Neural Dynamic Effects for Processing of UyghurInflectional and Derivational Words: Evidence from BehavioralResults . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 553Abudoukelimu Abulizi, Minghu Jiang, Dengfeng Yaoand Halidanmu Abudoukelimu

76 Looking at the Brains Behind Discourse Comprehension—AQuantitative Meta-Analysis of Neuroimaging Studies . . . . . . . . . . 561Xiaohong Yang, Huijie Li, Nan Lin and Yufang Yang

77 An EEG Study of Human Mirror Neuron System ActivitiesDuring Abstract Symbolic Communication . . . . . . . . . . . . . . . . . 565Guanhong Li, Takeshi Konno, Jiro Okuda and Takashi Hashimoto

78 The Things Attracting Our Attention: Evidence from TextReading . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 573Lijing Chen

79 Frequency- and Distance-Dependent Relation BetweenEvent-Related EEG Activity and BOLD Responses in anAuditory Stroop Paradigm . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 579T.A. Kranz, N. Axmacher, P. Trautner, K. Lehnertz and J. Fell

80 Single Electrooculogram Channel-Based Sleep StageClassification . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 595Fumeng Yang and Bin Xia

Part VIII Modelling Higher-order Functions and Dysfunctions

81 The Synaptic Plasticity Variability in a Post-traumatic StressDisorder Model . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 603Pengcheng Xiao, Lixia Duan and Jianzhong Su

82 Dynamics of the Composite Model Related to the AbsenceSeizure in Epilepsy . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 611Denggui Fan and Qingyun Wang

83 Firing Dynamics of Neurons in Hippocampus Under Epilepsy . . . 619Mengmeng Du, Ying Wu, Jiajia Li and Ning Tan

84 Modeling Task State Representation by the OrbitofrontalCortex with a Reservoir Network . . . . . . . . . . . . . . . . . . . . . . . . 625Zhenbo Cheng and Tianming Yang

85 Possible Critical Roles of Globus Pallidus Externa in ControllingAbsence Seizures . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 633Mingming Chen, Shengdun Wu, Yang Xia, Daqing Guoand Dezhong Yao

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86 Visual Experience in Natural Environment Promotes BetterBrain Functions Than Built Environment? . . . . . . . . . . . . . . . . . 641Yujia He, Zheng Chen and Yuguo Yu

87 The Computational Simulation of the Effect of Dopamineon Short-Term and Long-Term Memory . . . . . . . . . . . . . . . . . . . 645Xiaoxia Yin and Rubin Wang

88 The Control of CPG Gait Movement Under the Conditionof Attention Selection . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 653Wei Wang and Rubin Wang

89 Massive Spread of Two Opinions in Social Networks:Which Tend to Dominate? . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 661Xiaoyun Yu, Yijing Li, Ruihan Zhang, Quan Su, Xianhan Zhangand Jinde Cao

90 A Review of Gait Movement Under Visual Perception NeuralCode . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 669Fengyun Zhu, Rubin Wang and Xiaochuan Pan

Part IX Multi-scale Neural Network Dynamics

91 Diversity and Noise in Neurodynamics Across DifferentFunctional Levels . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 681Aubin Tchaptchet, Wuyin Jin and Hans A. Braun

92 Synaptic Plasticity, Dynamic Neural Networks, and TemporalPattern Representation . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 689Minoru Tsukada

93 Synchronized Discharge Pattern Decision Mechanismof Small-World Neuronal Network . . . . . . . . . . . . . . . . . . . . . . . 693Guanping Wang, Wuyin Jin and An Wang

94 Effects of Multi-clustered Structure on the Enhancementof Reservoir Computing of Spiking Neural Network . . . . . . . . . . 699Fangzheng Xue, Anguo Zhang and Xiumin Li

95 A Polymer Model for the Circadian Oscillation in Drosophila . . . 707Ning Tan, Ying Wu, Yong Xie and Jun Jiang

96 Stability Analysis for Uncertain Complex-Valued RecurrentNeural Networks . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 715Weiqiang Gong, Jinling Liang and Jinde Cao

97 On the Role of Chaotic Neural Activity in a Priori Conceptof Time . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 723Ichiro Tsuda

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98 Simultaneous Multitask Performing with Use of Chaosin a Quasi-Three-Layered Recurrent Neural Network . . . . . . . . . 727Ken-ichiro Soma and Shigetoshi Nara

99 Application of an Iterated Function System with DynamicSelection Probability to Deliberative Decision-Making . . . . . . . . . 735Yutaka Yamaguti and Ichiro Tsuda

100 Enhanced Memory Association on Neural Networkwith Dynamic Synapses . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 741Yuichi Katori

101 A Concept of Spatiotemporal Attractors . . . . . . . . . . . . . . . . . . . 749Hiromichi Tsukada, Minoru Tsukada and Ichiro Tsuda

102 Memory Retrieval by Means of FrequencyDivision Multiplexing . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 755Hiromichi Tsukada and Ichiro Tsuda

103 Neurodynamics of Up and Down Transitions Influencedby Ionic Channel Parameters . . . . . . . . . . . . . . . . . . . . . . . . . . . 761Xuying Xu and Rubin Wang

104 Uncovering Community Structure in Neuronal FunctionalNetworks from Multi-neuronal Spike Trains . . . . . . . . . . . . . . . . 769Hu Lu, Xinghao Huang, Yuqing Song and Hui Wei

105 An Improved Method of Measuring Multiple Spike TrainSynchrony . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 777Jingyi Qu, Rubin Wang, Ying Du and Chuankui Yan

Part X Oscillation, Synchronization and Synaptic Plasticity

106 Studies on Bursting Transitions . . . . . . . . . . . . . . . . . . . . . . . . . 787Lixia Duan, Xi Chen, Jing Liu and Qishao Lu

107 Impulsive Pinning Control in Complex Dynamical Networkswith Random Noises and Applications to Firing NeuronalSynchronization . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 795Guoqiang Wang, Lan Xiang and Jin Zhou

108 The Firing Properties of Glucose-Excited Neuron . . . . . . . . . . . . 803Hongwen Zheng and Rubin Wang

109 Calculation of the First Passage Time Distribution for the NoisyIntegrate-and-Fire Neuron with Discrete Periodic Input . . . . . . . . 811Zi-Yi Chen and Yan-Mei Kang

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110 Partial Connection Delay Controls the Mean InterspikeIntervals of Neuronal Networks . . . . . . . . . . . . . . . . . . . . . . . . . 819Xiaojuan Sun

111 Synchronization and Rhythm Transition of Coupled Neuronswith Synaptic Plasticity. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 825Xia Shi and Yuan Wang

112 Multiple Coexistences in the Delayed Inertial Neural System . . . . 833ZiGen Song and Bin Zhen

113 The Bifurcation Phenomenon of Fractional-OrderHindmarsh–Rose Neuronal Model with the Decreaseof the Order. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 841Tao Zhu, Guang-jun Zhang, Hong Yao and Xiang-bo Wang

114 Spiking Response of a Leaky Integrate-and-Fire Neuron Drivenby Periodic Inputs . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 849Junzi Wang, Xianfa Jiao and Wanyu Zhao

115 The Role of Ion Channels in Firing Dynamicsof a Two-Compartment Purkinje Cell Model . . . . . . . . . . . . . . . . 855Jing Wang and Shenquan Liu

116 Transition Between Synchronous Behaviors of Coupled Neuronswith Reciprocal Inhibition and Time Delay . . . . . . . . . . . . . . . . . 861Zhiguo Zhao and Huaguang Gu

117 Phase Noise-Induced Transition from Single CoherenceResonance to Double Coherence Resonances in a NeuronalModel . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 867Yanbing Jia and Huaguang Gu

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