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Advances in Cognitive Neurodynamics (VII)

Proceedings of the Seventh International Conference on Cognitive Neurodynamics – 2019

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Alessandra Lintas

    1. HEC LABEX & ISI Complexity Science Group, University of Lausanne, Lausanne, Switzerland

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  2. Paolo Enrico

    1. Dipartimento di Scienze biomediche, Università degli Studi di Sassari, Sassari, Italy

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  3. Xiaochuan Pan

    1. Institute for Cognitive Neurodynamics, East China University of Science and Technology, Shanghai, China

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  4. Rubin Wang

    1. Institute for Cognitive Neurodynamics, East China University of Science and Technology, Shanghai, China

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  5. Alessandro Villa

    1. NeuroHeuristic Research Group, University of Lausanne, Lausanne, Switzerland

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  • Discusses the latest progress in cognitive neurodynamics
  • Ranges from single neurons and neural networks to animal/human behavior in theoretical/experimental studies
  • Provides insights from leading experts

Part of the book series: Advances in Cognitive Neurodynamics (ICCN)

Included in the following conference series:

Conference proceedings info: ICCN2019 2019.

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Table of contents (50 papers)

  1. Front Matter

    Pages i-xix
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  2. Neurophysics and Analysis of NeuroInformation

    1. Front Matter

      Pages 1-1
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    2. Seizure Detection of Epileptic EEG Based on Multiple Phase-Amplitude Coupling Methods

      • Yao Miao, Toshihisa Tanaka, Shintaro Ito, Jianting Cao
      Pages 3-13

    3. EEG-Based Emotion Classification Using Entropy Features and Machine Learning Techniques

      • Jianhua Zhang, Peng Chen, Rubin Wang
      Pages 15-26

    4. Optimized Correlation-Based Time Window Selection Algorithm for Motor Imagery Based BCIs

      • Zongmei Chen, Cili Zuo, Hak-Keung Lam, Yangyang Miao, Xingyu Wang, Jing Jin
      Pages 27-36

    5. The Alpha Network Changes Elicited by Working Memory Training

      • Junling Ran, Huiling Zhang, Jayang Xu, Tianhao Li, Dong Wang, Yin Tian
      Pages 37-40

    6. Symbolic Neural Dynamics Allow for Modeling Retrograde Amnesia as Well as False Memories

      • Pierre Bonzon
      Pages 41-54

    7. A New Deep Neural Network Inspired by Directional Mutual Information Between Slow and Fast Neural Information Flow

      • Tao Zhang, Sitong Wang, Zhuo Yang
      Pages 55-60

    8. Nonlinear Fokker–Planck Approach to the Cohen–Grossberg Model

      • Roseli S. Wedemann, Angel R. Plastino
      Pages 61-72

  3. Functional Interactions in Neural Networks

    1. Front Matter

      Pages 73-73
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    2. Equalization Effect in Interpopulation Spike-Timing-Dependent Plasticity in Two Inhibitory and Excitatory Populations

      • Sang-Yoon Kim, Woochang Lim
      Pages 75-82

    3. Acetylcholine Effects on STDP Induced on Spatial and Non-spatial Information in Dentate Gyrus

      • Eriko Sugisaki, Yasuhiro Fukushima, Takeshi Aihara
      Pages 83-88

    4. Context-Dependent Learning and Memory Based on Spatio-Temporal Learning Rule

      • Hiromichi Tsukada, Minoru Tsukada
      Pages 89-94

    5. Time Delayed Effect Can Bring Novel Hierarchical Complex Dynamics to Neural Network?

      • Shigetoshi Nara
      Pages 95-97

    6. A Cortical Network Model for Visual Attention

      • Xiaochuan Pan, Tao Zhang, Xuying Xu, Rubin Wang
      Pages 99-106

    7. Fractal Structure in Hokusai’s “Great Wave” and the Memory Neural Network

      • Minoru Tsukada, Hiromichi Tsukada
      Pages 107-112

  4. Auditory and Multisensory Processing

    1. Front Matter

      Pages 113-113
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    2. Viewer’s Attention Flow When Watching Audiovisual Cuts

      • Miguel Ángel Martín-Pascual, Celia Andreu-Sánchez, José María Delgado-García, Agnès Gruart
      Pages 115-123

    3. A Possible Mechanism of Learning-Evoked Reorganization of Receptive Fields in the Primary Auditory Cortex: A Role of the Basal Ganglia, Prefrontal Cortex, Hippocampus, Acetylcholine and Dopamine

      • Isabella G. Silkis
      Pages 125-133

    4. Auditory Processing During Sleep: A Clinical Application in Tinnitus

      • Marisa Pedemonte
      Pages 135-146
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Other volumes

  1. Advances in Cognitive Neurodynamics (VII)

Keywords

About this book

This book contains original articles submitted to the Seventh International Conference on Cognitive Neurodynamics (ICCN 2019). The brain is an endless case study of a complex system characterized by multiple levels of integration, multiple time scales of activity, and multiple coding and decoding properties. The contribution of several disciplines, mathematics, physics, computer science, neurobiology, pharmacology, physiology, and behavioral and clinical sciences, is necessary in order to cope with such seemingly unattainable complexity that transforms the experimental information into a tricky puzzle which hides the correspondence with model predictions. This conference gathered active participants to discuss ideas and pose new questions from different viewpoints, ranging from single neurons and neural networks to animal/human behavior in theoretical and experimental studies. The conference is organized with plenary lectures, mini-symposia, interdisciplinary round tables, and oral andposter sessions.

Editors and Affiliations

  • HEC LABEX & ISI Complexity Science Group, University of Lausanne, Lausanne, Switzerland

    Alessandra Lintas

  • Dipartimento di Scienze biomediche, Università degli Studi di Sassari, Sassari, Italy

    Paolo Enrico

  • Institute for Cognitive Neurodynamics, East China University of Science and Technology, Shanghai, China

    Xiaochuan Pan, Rubin Wang

  • NeuroHeuristic Research Group, University of Lausanne, Lausanne, Switzerland

    Alessandro Villa

About the editors

Dr. Alessandra Lintas is a group leader of HEC LABEX & ISI Complexity Science Group, University of Lausanne, Switzerland. Her research focuses on neural networks, decision making and experimental human neuroscience with electrophysiology and functional NearInfrared Spectroscopy.


Dr. Paolo Enrico is a researcher of the Department of Biomedical Sciences, University of Sassari, Italy. His research focuses on neuropharmacology and computational neuroscience. He has published more than 60 research articles.


Dr. Xiaochuan Pan is a professor of the Institute for Cognitive Neurodynamics, East China University of Science and Technology. His research focuses on molecular mechanisms of decision making, quantitative analysis of functional connectivity, and reward prediction process for learning behavior.

Dr. Rubin Wang is a professor and the director of the Institute for Cognitive Neurodynamics, East China University of Science and Technology. He serves as Editor-in-Chief for Cognitive Neurodynamics, published by Springer. His research focuses on neural information processing and cognitive neurodynamics.


Dr. Alessandro E.P. Villa is a member of the Swiss Academy of Engineering Sciences. He is a professor and founding director of the NeuroHeuristic Research Group, University of Lausanne, Switzerland. His research focuses on a transdisciplinary approach of brain dynamics and complexity.

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