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Advances in Cognitive Neurodynamics

Proceedings of the International Conference on Cognitive Neurodynamics - 2007

  • Conference proceedings
  • © 2008

Overview

Editors:
  1. Rubin Wang

    1. The Institute for Cognitive Neurodynamics, East China University of Science and Technology, People’s Republic of China

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  2. Enhua Shen

    1. The Institute for Cognitive Neurodynamics, East China University of Science and Technology, People’s Republic of China

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    You can also search for this editor in PubMed   Google Scholar

  3. Fanji Gu

    1. The Institute for Cognitive Neurodynamics, East China University of Science and Technology, People’s Republic of China

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  • The latest progress in the field of cognitive neurodynamics
  • Completely focused on the topic of cognitive neurodynamics
  • Review and comments to the progress of cognitive neurodynamics by leading scientists in this field
  • Covering almost all the sub-fields of cognitive neurodynamics

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

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Table of contents (181 papers)

  1. Front Matter

    Pages I-XL
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  2. Microscopic Cognitive Neurodynamics

    1. Front Matter

      Pages 1-1
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    2. Dynamic Interaction Networks and Global Ontology-Based Modelling of Brain Dynamics

      • Nikola Kasabov, Lubica Benuskova
      Pages 3-7

    3. The Cauchy Problem for Spiking Neuron Models

      • Romain Brette
      Pages 9-12

    4. On the Dynamics of Spectro-Temporal Tuning in Auditory Cortex

      • Didier A. Depireux, Heather D. Dobbins, Barak Shechter
      Pages 13-17

    5. A European Collaboration on Cerebellar LTD and Pattern Recognition

      • Erik De Schutter, Volker Steuber
      Pages 19-22

    6. The Role of Layer 6 Feedback Cells in the Primary Visual Cortex

      • Wei Wang
      Pages 23-25

    7. What Language is Spoken Here? Conversations Between Neurons in Primate Visual Cortex

      • Vivien A. Casagrande, Xin Chen, Walter J. Jermakowicz
      Pages 27-30

    8. On the Emergence of Orientation Biases in V1

      • Mehdil Nouri Shirazi
      Pages 31-35

    9. Stress Affects Synaptic Plasticity and Basal Synaptic Transmission in the Rat Hippocampus In Vivo

      • Amer Kamal, Ivan Urban, Willem Hendrik Gispen
      Pages 37-41

    10. Physiological Evidence for Cantor Coding Output in Hippocampal CA1

      • Yasuhiro Fukushima, Makoto Yoneyama, Minoru Tsukada, Ichiro Tsuda, Yutaka Yamaguti, Shigeru Kuroda
      Pages 43-45

    11. Theta Phase Coding and Suppression of Irrelevant Plastic Change Through STDP in the Entorhin-Hippocampal System amid Background Noise

      • Jun Igarashi, Hatsuo Hayashi
      Pages 47-51

    12. Effect of Low-Frequency Stimulation on Spontaneous Firing in Cultured Neuronal Networks

      • J. van Pelt, I. Vajda, P.S. Wolters, G. Ramakers, A. van Ooyen
      Pages 53-57

    13. Modeling Neurons of the Inferior Colliculus

      • Harry Erwin, Mark Elshaw, Adrian Rees, David Perez-Gonzalez, Stefan Wermter
      Pages 59-62

    14. Synchronization Effects in Networks of Striatal Fast Spiking Interneurons – Role of Gap Junctions

      • Johannes Hjorth, Lennart Hedlund, Kim T Blackwell, Jeanette Hellgren Kotaleski
      Pages 63-66

    15. Multilayer In-Place Learning Networks with Adaptive Lateral Connections: Models and Simulations

      • Weiya Shi, Juyang Weng, Mingmin Chi, Xiangyang Xue
      Pages 67-70

    16. Stimulus-Induced Pairwise Interaction Can Be Revealed by Information Geometric Approach

      • Hiroyuki Nakahara, Masanori Shimono, Go Uchida, Manabu Tanifuji
      Pages 71-75

    17. A Dynamical Model of Fast Intrinsic Optical Signal of Neural Burstings

      • Jianzhong Su, Hanli Liu, Yuanbo Peng
      Pages 77-81

    18. The Mechanism of Bifurcation-Dependent Coherence Resonance of Morris-Lecar Neuron Model

      • Guangjun Zhang, Jianxue Xu, Jue Wang, Zhifeng Yue, Chunbo Liu, Hong Yao et al.
      Pages 83-89

    19. Noise-Induced Coherence Resonance in Morris-Lecar Neuron System

      • Bao-Hua Wang, Qi-Shao Lu, Xiao-Juan Sun
      Pages 91-95
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About this book

Fifty years ago, enthused by successes in creating digital computers and the DNA model of heredity, scientists were con?dent that solutions to the problems of und- standing biological intelligence and creating machine intelligence were within their grasp. Progress at ?rst seemed rapid. Giant ‘brains’ that ?lled air-conditioned rooms were shrunk into briefcases. The speed of computation doubled every two years. What these advances revealed is not the solutions but the dif?culties of the pr- lems. We are like the geographers who ‘discovered’ America, not as a collection of islands but as continents seen only at shores and demanding exploration. We are astounded less by the magnitude of our discoveries about how brains cogitate than by the enormity of the tasks we have undertaken, to explain and replicate the higher functions of brains. Five decades of brain research have led to the emergence of a new ?eld, which spans the entire range of brain cognition from quantum ?elds to social interactions, and which is combined by the conceptions of nonlinear neurodynamics operating simultaneously at and across all levels. A new breed of scientists has emerged, schooled in multiple academic disciplines, comfortable in working with data from different levels, and conversant with the mathematical tools that are essential to cross boundaries.

Editors and Affiliations

  • The Institute for Cognitive Neurodynamics, East China University of Science and Technology, People’s Republic of China

    Rubin Wang, Enhua Shen, Fanji Gu

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