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Advances in Cognitive Neurodynamics (II)

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Table of Contents

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    Book Overview
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    Chapter 1 Dynamics of Learning In Hierarchical Models – Singularity and Milnor Attractor
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    Chapter 2 Chaotic Dynamics, Episodic Memory, and Self-identity
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    Chapter 3 Stochastic Modeling of Neuronal Responses
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    Chapter 4 Phase Transitions in Mesoscopic Brain Dynamics – Implications for Cognition and Consciousness
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    Chapter 5 Anatomical and Topological Foundations of Cognitive Neurodynamics in Cerebral Cortex
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    Chapter 6 Metastability of Mean Field Neuropercolation – The Role of Inhibitory Populations
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    Chapter 7 Spontaneous Low-Frequency Fluctuation Observed with Functional Magnetic Resonance Imaging as a Potential Biomarker in Neuropsychiatric Disorders
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    Chapter 8 Dynamical Systems and Accurate Temporal Information Transmission in Neural Networks
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    Chapter 9 Next Generation Large-Scale Chronically Implantable Precision Motorized Microdrive Arrays for Freely Behaving Animals
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    Chapter 10 Dynamic Receptive Fields in Auditory Cortex: Feature Selectivity and Organizational Principles
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    Chapter 11 Top-Down Mechanism of Perception: A Scenario on the Role for Layer 1 and 2/3 Projections Viewed from Dynamical Systems Theory
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    Chapter 12 Beyond Sensory Coding: The Cognitive Context of Olfactory Neurodynamics
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    Chapter 13 Temporo-Parietal Network Model for 3D Mental Rotation
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    Chapter 14 Representation of Time-Series by a Self-Similar Set in a Model of Hippocampal CA1
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    Chapter 15 Emergence of Iterated Function Systems in the Hippocampal CA1
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    Chapter 16 Frontal Theta for Executive Functions and Parietal Alpha for Storage Buffers in Visual Working Memory
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    Chapter 17 Associative Latching Dynamics vs. Syntax
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    Chapter 18 Category Inference and Prefrontal Cortex
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    Chapter 19 Is Mu Rhythm an Index of the Human Mirror Neuron System? A Study of Simultaneous fMRI and EEG
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    Chapter 20 Decoding Action Selectivity of Observed Images Using fMRI Pattern Analysis
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    Chapter 21 A Developmental Model of Infant Reaching Movement: Acquisition of Internal Visuomotor Transformations
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    Chapter 22 Interacting Humans and the Dynamics of Their Social Brains
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    Chapter 23 State-Dependent Cortical Synchronization Networks Revealed by TMS-EEG Recordings
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    Chapter 24 Stimulation Induced Transitions in Spontaneous Firing Rates in Cultured Neuronal Networks also Occur in the Presence of Synaptic Plasticity Blocker KN93
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    Chapter 25 Attractors in Neurodynamical Systems
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    Chapter 26 Combining Supervised, Unsupervised, and Reinforcement Learning in a Network of Spiking Neurons
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    Chapter 27 Concerted Activities in Frog Retinal Ganglion Cells
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    Chapter 28 Gamma-Frequency Synaptic Input Enhances Gain Modulation of the Layer V Pyramidal Neuron Model
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    Chapter 29 Zinc Modulation of Calcium-Permeable AMPA Receptors on Carp Retinal Horizontal Cells
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    Chapter 30 Spectral Characteristics of Firing Pattern in Retinal Ganglion Cells
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    Chapter 31 The Firing Pattern Properties in Retinal Ganglion Cells
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    Chapter 32 The Spatiotemporal Structure of Receptive Field of Ganglion Cells in Bullfrog Retina
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    Chapter 33 Dynamics of Hierarchical Neural Networks
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    Chapter 34 Effects of Additive Gaussian Noise on Neuronal Firings in a Heterogeneous Neuronal Network
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    Chapter 35 Stochastic Evolution Model of Neuronal Oscillator Population Under the Condition of the Variable Higher Order Coupling
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    Chapter 36 Qualitative Analysis in Locally Coupled Neural Oscillator Network
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    Chapter 37 Determination of the Number Ratio Between Excitation Neurons and Inhibitory Neurons in Activities of Neural Networks
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    Chapter 38 Transition Mechanisms Between Periodic and Chaotic Bursting Neurons
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    Chapter 39 Dynamical Characteristics of the Fractional-Order FitzHugh-Nagumo Model Neuron
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    Chapter 40 Dynamics Analysis of the Hyperpolarized Model for Bursting Calcium Oscillations in Non-excitable Cells
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    Chapter 41 Effect of Temperature on Synchronization Phenomena in Coupled Spiking Neuron Models
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    Chapter 42 Synchronization Transitions of Small-World Neuronal Networks
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    Chapter 43 Bursting Regularity in Complex Networks of Neurons with Chemical Synapses
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    Chapter 44 Burst Synchronization in a Small-World Neuronal Network with Coupling Delays
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    Chapter 45 Correlation-Induced Phase Synchronization in Bursting Neurons
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    Chapter 46 Synchronization of Small-World Neuronal Networks with Synapse Plasticity
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    Chapter 47 A Modeling Study of Glutamate Release of NMDA Receptors
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    Chapter 48 Experimental Discovery of a Complex Bifurcation Scenario from Period 1 Bursting to Period 1 Spiking
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    Chapter 49 Exploring the Asymmetrical Cortical Activity in Motor Areas Using Support Vector Machines
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    Chapter 50 Strange Non-chaotic Attractors in Noisy FitzHugh-Nagumo Neuron Model
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    Chapter 51 Pattern Discrimination on Deterministic and Noise-Induced Impulses in Neural Spike Trains
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    Chapter 52 Desynchrony in Two Chaotic Neurons with Uncertain Couple and Mix-Adaptive Feedback
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    Chapter 53 Outer Synchronization of Coupled Discrete-Time Networks with Time Delay
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    Chapter 54 Phase Resetting on Scalp EEG, Study on Its Synchrony and Distribution
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    Chapter 55 The Interaction Between the Parietal and Motor Areas in Dynamic Imagery Manipulation: An fMRI Study
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    Chapter 56 An fMRI Investigation of the Mental Perspective Shift in Language Comprehension
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    Chapter 57 Neural Representation of Space for Sound-Source Localization: An fMRI Study
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    Chapter 58 Investigating Causality Between Interacting Brain Areas with Multivariate Autoregressive Models of MEG Sensor Data
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    Chapter 59 EEG Feature Extraction During Mental Fatigue and Relaxation by Principal Component Analysis
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    Chapter 60 Kernel Granger Causality Mapping Effective Connectivity: A Resting fMRI Study
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    Chapter 61 EEG Source Localization Based on Multiple fMRI Spatial Patterns
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    Chapter 62 ICA Analysis for Decision-Making Task on fMRI
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    Chapter 63 Single Trial Extraction of Cognitive Evoked Potential by Using EMD Based Method
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    Chapter 64 Multiple Neural Networks Involved in Chewing Gum: A Functional MRI Study Using Group-ICA
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    Chapter 65 Dynamic Form Templates Determine Sensitivity to Biological Motion
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    Chapter 66 Bistable Alternation of Point-Light Biological Motion
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    Chapter 67 Influence of Feedback Signals from Cat’s Area 21a on Contrast Response Function of Area 17 Neurons
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    Chapter 68 Compensating Neural Transmission Delays by Dynamical Routing
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    Chapter 69 Retinotopic Sparse Representation of Natural Images
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    Chapter 70 A Neural Network Model for Image Formation of the Face Through Double-Touch Without Visual Information
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    Chapter 71 Population Responses of Aδ-Fiber Nociceptors with Hypothetical Spatial Distributions on Human Forearm
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    Chapter 72 Optimal Model for Selecting Human Arm Posture During Reaching Movement
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    Chapter 73 Decoding the Grid Cells for Metric Navigation Using the Residue Numeral System
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    Chapter 74 Discussion on Rhythmic Gait Movement Affected by Cerebral Cortex Signal
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    Chapter 75 Re-optimization Contributes to the Adaption of External VF Field
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    Chapter 76 Vector Sum of Two Eyes’ Images Might Be an Important Cue in Human Visual System
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    Chapter 77 A Spatial Temporal Integration Model of Primary Visual Cortex Concerning Directional Selectivity
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    Chapter 78 Periodic Motion Control of Human Arm Movement Based on CPG model
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    Chapter 79 A Neurodynamical Approach to Visual Affordances: The Selective Attention for Action Model (SAAM)
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    Chapter 80 A Comparative Analysis on Adaptive Modelling of Induced Feelings
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    Chapter 81 Modelling Trust Dynamics from a Neurological Perspective
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    Chapter 82 Novel Bionic Model for Pattern Recognition
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    Chapter 83 Local Self-Adaptation Mechanisms for Large-Scale Neural System Building
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    Chapter 84 Functions of Shallow vs. Deep Theta-Nested Gamma in Object Recognition
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    Chapter 85 Modelling the Hypothalamic Control of Thalamic Synchronization Along the Sleep-Wake Cycles
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    Chapter 86 Stochastic Resonance and Stochastic Encoding: Cooperative Effects of Noise and Intrinsic Dynamics in a Model Neuron with Subthreshold Oscillations
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    Chapter 87 Attention Modulation of Sensory Systems
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    Chapter 88 Evidence for a Spatiotemporal Singularity in Percept Formation by Cerebral Cortex
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    Chapter 89 Nonequilibrium Behavior in Neural Networks: Criticality and Optimal Performance
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    Chapter 90 A Hierarchial Model for Visual Perception
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    Chapter 91 An Orientational Sensitive Vision Model Based on Biological Retina
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    Chapter 92 Recurrent Neural Networks for Local Model Prediction
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    Chapter 93 Single-Trial Electrical Perception Recognition via Single-Channel Electroencephalogram
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    Chapter 94 Sleep Quality Analysis Based on HHT
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    Chapter 95 Advances in Cognitive Neurodynamics (II)
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    Chapter 96 A New Support Vector Machine Algorithm with Scalable Penalty Coefficients for Training Samples
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    Chapter 97 Recognition of Epileptic EEG Using Support Vector Machines
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    Chapter 98 Image Denoising Using Noisy Chaotic Neural Networks
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    Chapter 99 Increase Productivity in Circuit Board Manufacturing Through Support Vectors
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    Chapter 100 Towards Affective BCI/BMI Paradigms – Analysis of fEEG and fNIRS Brain Responses to Emotional Speech and Facial Videos
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    Chapter 101 Imagery Movement Paradigm User Adaptation Improvement with Quasi-movements Phenomenon
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    Chapter 102 High Resolution Common Spatial Frequency Filters for Classifying Multi-class EEG
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    Chapter 103 Suitable ICA Algorithm for Extracting Saccade-Related EEG Signals
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    Chapter 104 EEG Based Brain-Computer Interface System for Remote Vehicle Controlling
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    Chapter 105 Channel Selection for Motor Imagery-Based BCIs: A Semi-supervised SVM Algorithm
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    Chapter 106 On the Early Diagnosis of Alzheimer’s Disease from EEG Signals: A Mini-Review
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    Chapter 107 Analysis of EEG Time Series Recorded from Alzheimer Patients Based on Their Spectral Content
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    Chapter 108 Modeling Transient Oscillations in the EEG of Patients with Mild Cognitive Impairment
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    Chapter 109 Discrimination of the Sleeping EEG by the Adaptive Rhythmic Component Extraction
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    Chapter 110 Analyzing EEG of Quasi-brain-death Based on Approximate Entropy Measures
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    Chapter 111 Complexity Analysis of EEG Data with Multiscale Permutation Entropy
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    Chapter 112 Cueing-Dependent Activity in Bilateral M1 in Parkinson’s Disease
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123 Mendeley
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Title
Advances in Cognitive Neurodynamics (II)
Published by
Springer, Dordrecht, January 2011
DOI 10.1007/978-90-481-9695-1
ISBNs
978-9-04-819694-4, 978-9-04-819695-1
Editors

Rubin Wang, Fanji Gu

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 123 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 3 2%
Japan 3 2%
France 2 2%
Malaysia 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Cuba 1 <1%
Germany 1 <1%
Argentina 1 <1%
Other 3 2%
Unknown 106 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 29%
Student > Master 21 17%
Researcher 19 15%
Student > Bachelor 11 9%
Student > Doctoral Student 8 7%
Other 19 15%
Unknown 9 7%
Readers by discipline Count As %
Psychology 22 18%
Engineering 20 16%
Agricultural and Biological Sciences 16 13%
Computer Science 9 7%
Neuroscience 9 7%
Other 33 27%
Unknown 14 11%