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Advances in Cognitive Neurodynamics ICCN 2007 : Proceedings of the International Conference on Cognitive Neurodynamics. ICCN 2007 Proceedings

معرفی کتاب «Advances in Cognitive Neurodynamics ICCN 2007 : Proceedings of the International Conference on Cognitive Neurodynamics. ICCN 2007 Proceedings» نوشتهٔ Rubin Wang, Fanji Gu, Enhua Shen, Xiaochuan Pan، منتشرشده توسط نشر Springer-Verlag Berlin Heidelberg در سال 2008. این کتاب در 8 صفحه، فرمت pdf، زبان انگلیسی ارائه شده است.

This volume contains the Proceedings of the 1st International Conference on Cognitive Neurodynamics held in Shanghai, November 17-21, 2007. The participants were treated to an exciting and stimulating conference that left everyone with an enthusiastic vision for the future of the field. The latest important progress was covered by 13 mini-symposia including: Models of Mental Disorders; Cognitive Machines; Dynamics in learning and memory; Central nervous system synchronization; Neuroinformatics; Cognitive Computational Modeling of Human Language Processing; Cognitive Neurodynamics of Attention; Bottom-Up and Top-Down; Brain Networks; From Anatomy to Dynamics; Translational Cognitive Neuroimaging; K-sets; Theory and Applications; Advanced Signal Processing Techniques for Brain Data Analysis; Visual cortex: information processing and dynamics; Dynamics of Firing Patterns and Synchronization in Neuronal Systems. Cover ......Page 1 Title Page ......Page 3 Copyright ......Page 4 Preface......Page 6 Contents......Page 8 ICCN 2007 Organization......Page 26 International Advisory Committee......Page 28 Program Committee......Page 30 Mini-Symposium Organizers......Page 34 Reviewers......Page 38 Part I Microscopic Cognitive Neurodynamics......Page 43 Dynamic Interaction Networks and Global Ontology-Based Modelling of Brain Dynamics......Page 44 The Cauchy Problem for Spiking Neuron Models......Page 50 On the Dynamics of Spectro-Temporal Tuning in Auditory Cortex......Page 54 A European Collaboration on Cerebellar LTD and Pattern Recognition......Page 60 The Role of Layer 6 Feedback Cells in the Primary Visual Cortex......Page 64 What Language is Spoken Here? Conversations Between Neurons in Primate Visual Cortex......Page 68 On the Emergence of Orientation Biases in V1......Page 72 Stress Affects Synaptic Plasticity and Basal Synaptic Transmission in the Rat Hippocampus In Vivo......Page 78 Physiological Evidence for Cantor Coding Output in Hippocampal CA1......Page 84 Theta Phase Coding and Suppression of Irrelevant Plastic Change Through STDP in the Entorhin-Hippocampal System amid Background Noise......Page 88 Effect of Low-Frequency Stimulation on Spontaneous Firing in Cultured Neuronal Networks......Page 94 Modeling Neurons of the Inferior Colliculus......Page 100 Synchronization Effects in Networks of Striatal Fast Spiking Interneurons – Role of Gap Junctions......Page 104 Multilayer In-Place Learning Networks with Adaptive Lateral Connections: Models and Simulations......Page 108 Stimulus-Induced Pairwise Interaction Can Be Revealed by Information Geometric Approach......Page 112 A Dynamical Model of Fast Intrinsic Optical Signal of Neural Burstings......Page 118 The Mechanism of Bifurcation-Dependent Coherence Resonance of Morris-Lecar Neuron Model......Page 124 Noise-Induced Coherence Resonance in Morris-Lecar Neuron System......Page 132 Chaotic Burst Synchronization in a Small-World Neuronal Network......Page 138 A Stochastic Resonance Memory Mechanism of Hippocampus......Page 144 Theta Phase Precession Enhance Single Trial Learning in an STDP Network......Page 150 A Numerical Mechanism for Square-Wave or Elliptic Bursting of Bursts in a Map-Based Neuron Network......Page 156 Sub-Threshold Oscillation and Transient Response in Neural Coding......Page 160 Setting Up New Memories: The Ideal Job for The Mammalian Dentate Gyrus......Page 166 Neural Network Model Generating Symbol Sequence for Songs of Bengalese Finch......Page 172 A New Method for Characterizing the Variability of the Spike Trains......Page 178 Part II Mesoscopic Cognitive Neurodynamics; Transitions Between Levels......Page 184 Proposed Renormalization Group Analysis of Nonlinear Brain Dynamics at Criticality......Page 185 An Improvement of Sequential Minimum Optimization Algorithm......Page 0 A Thermodynamic Model of the Action-Perception Cycle in Brain Dynamics......Page 202 Dynamic Field Theory as the Interface Between Neuronal Dynamcis and Embodied Cognition......Page 209 The Task of Cognitive Neuroscience......Page 214 Functional Roles of Feedback Signals from Higher-Order Areas to Lower-Order Areas in the Visual Cortical Pathways......Page 221 Dynamics of Population Decoding with Strong Inhibition......Page 227 Global Oscillations of CA3 Neural Fields......Page 232 Behaviour Signatures of Continuous Attractors......Page 237 Statistical Outliers in Neuron Population and Myelinated Fiber Development in Human Neocortex......Page 242 Studies on Synchronization Using KIV Model......Page 247 Synchronous Firing and Its Control in Neuronal Population with Time Delay......Page 252 Sequence Memory with Dynamic Synapses and Chaotic Neurons......Page 258 Interacting Turing and Hopf Instabilities Drive Pattern Formation in a Noise-Driven Model Cortex......Page 264 Context-Dependent Processing of Spatiotemporal Patterns Based on Interaction Between Neurodynamical Systems......Page 271 The Synchronization and Associative Memory of Izhikevich Neural Network......Page 277 Connectivity Dependent Effects in Cognitive Neurodynamics of Mental Disorders......Page 283 Corticopetal Acetylcholine: A Role in Attentional State Transitions and the Genesis of Quasi-Attractors During Perception......Page 288 Cortical Anatomy and the Spatiotemporal Learning Rule......Page 294 Theta Phase Precession for Spatial Representation in the Entorhinal-dentate Gyrus-ca3 Network......Page 302 Mechanisms of Spatial Integration in Primary Visual Cortex of the Primate......Page 312 Coding of Peripheral Olfactory Information in the Olfactory Bulb of Small Animals......Page 318 Neural Ensembles and Local Field Potentials in the Hippocampal-Prefrontal Cortex System During Spatial Learning and Strategy Shifts in Rats......Page 324 Effects of Time Delay on Synchronization and Temporal Order in a Square Lattice Noisy Neuronal Network......Page 338 The Attractor Type of Complex Networks......Page 344 Asymptotical Stability of Delayed BAM Neural Networks with Generalized Activation Functions by Comparison Approaches......Page 349 Chaotic Synchronization of Hindmarsh-Rose Neurons Coupled by Cubic Nonlinear Feedback......Page 354 Part III Macroscopic Cognitive Neurodynamics......Page 361 The Physiological and Biochemical Bases of Functional Brain Imaging......Page 366 Implications for Psychiatry of a Thermodynamic Model of Brain Operating Far from Equilibrium......Page 404 Learning in Sparse Attractor Networks with Inhibition......Page 414 Dynamic Analysis of Motor Imagery EEG Using Kurtosis Based Independent Component Analysis......Page 420 Quantifying the Sequential Structure of Psychotic Behavior......Page 426 Robust Auditory-Based Speech Feature Extraction Using Independent Subspace Method......Page 444 Intra- and Interpersonal Coordination of Goal-Oriented Movements in a Working Scenario......Page 450 Network Synchronization/Desynchronization Defects in the Pathogenesis of Neuropsychiatric Disorders......Page 456 Exploring Causal Relationships in the Phase Functions of Coupled Van der Pol Oscillators......Page 462 EEG Theta Regulates Eye Saccade Generation During Human Object-place Memory Encoding......Page 468 Hippocampal and Parahippocampal Neuronal Responses to Spatial and Non-Spatial Factors in Rats and Monkeys......Page 475 Oscillatory Event Synchrony During Steady State Visual Evoked Potentials......Page 479 Memory Formation of Object Representation: Natural Scenes......Page 496 Dynamical Model of Action Reinforcement by Gated Working Memory......Page 502 Quantum Representation Theory for Nonlinear Dynamical Automata......Page 508 Superior Colliculus and Basal Ganglia Control the Saccadic Response in Motion Discrimination Tasks......Page 514 A Synergetic Model for Operant Behaviors Under the Control of Fixed Interval Reinforcement Schedules......Page 520 Structure–Function Relationship in Complex Brain Networks by Multilevel Modeling......Page 550 Part IV Applications......Page 681 The Convertible Undeniable Multi-Signature Scheme......Page 844 Walk-Aided System with Wearable Lower Extremity Exoskeleton for Brain-Machine Engineering......Page 888 Transiently Chaotic Neural Network with Variable Thresholds for the Frequency Assignment Problem in Satellite Communications......Page 924 An Animal Model of Alzheimer’s Disease Highlighting Targets for Computational Modeling......Page 942 Part V Methods and Technics......Page 959 Face Detection Using Multi-Feature......Page 961 A Text Classification Method Based on Cascade......Page 966 A PCNN Based Approach to Image Segmentation Using Size-Adaptive Texture Features......Page 972 Index......Page 1104 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.

this Volume Contains The Proceedings Of The 1st International Conference On Cognitive Neurodynamics Held In Shanghai, November 17-21, 2007.

the Participants Were Treated To An Exciting And Stimulating Conference That Left Everyone With An Enthusiastic Vision For The Future Of The Field.

the Latest Important Progress Was Covered By 13 Mini-symposia Including: Models Of Mental Disorders; Cognitive Machines; Dynamics In Learning And Memory; Central Nervous System Synchronization; Neuroinformatics; Cognitive Computational Modeling Of Human Language Processing; Cognitive Neurodynamics Of Attention; Bottom-up And Top-down; Brain Networks; From Anatomy To Dynamics; Translational Cognitive Neuroimaging; K-sets; Theory And Applications; Advanced Signal Processing Techniques For Brain Data Analysis; Visual Cortex: Information Processing And Dynamics; Dynamics Of Firing Patterns And Synchronization In Neuronal Systems.

This conference was supported by the National Natural Science Foundation of China (Grant No. 0710301053)
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