Neuro-Informatics and Neural Modelling

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Product Details

Table of Contents

General Preface
Preface to Volume 4
Contents of Volume 4
Contributors to Volume 4
Sect. 1 Statistical and Nonlinear Dynamics in Neuroscience
1 Electrical Stimulation of the Somatosensory System 1
2 Phase Synchronization: From Periodic to Chaotic and Noisy 23
3 Fluctuations in Neural Systems: From Subcellular to Network Levels 83
4 Detecting Unstable Periodic Orbits in Biological Systems 131
5 The Topology and Organization of Unstable Periodic Orbits in Hodgkin-Huxley Models of Receptors with Subthreshold Oscillations 155
6 Controlling Cardiac Arrhythmias: The Relevance of Nonlinear Dynamics 205
7 Controlling the Dynamics of Cardiac Muscle Using Small Electrical Stimuli 229
8 Intrinsic Noise from Voltage-Gated Ion Channels: Effects on Dynamics and Reliability in Intrinsically Oscillatory Neurons 257
9 Phase Synchronization: From Theory to Data Analysis 279
10 Statistical Analysis and Modeling of Calcium Waves in Healthy and Pathological Astrocyte Syncytia 323
Sect. 2 Biological Physics of Neurons and Neural Networks
11 Neurones as Physical Objects: Structure, Dynamics and Function 353
12 A Framework for Spiking Neuron Models: The Spike Response Model 469
13 An Introduction to Stochastic Neural Networks 517
14 Statistical Mechanics of Recurrent Neural Networks I - Statics 553
15 Statistical Mechanics of Recurrent Neural Networks II - Dynamics 619
16 Topologically Ordered Neural Networks 685
17 Geometry of Neural Networks: Natural Gradient for Learning 731
18 Theory of Synaptic Plasticity 771
19 Information Coding in Higher Sensory and Memory Areas 825
20 Population Coding: Efficiency and Interpretation of Neuronal Activity 853
21 Mechanisms of Synchrony of Neural Activity in Large Networks 887
22 Emergence of Feature Selectivity from Lateral Interactions in the Visual Cortex 969
23 Information Transfer Between Sensory and Motor Networks 1001
Epilogue to Volume 4 1043
Subject Index 1045
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