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(Ebook PDF) Neuro informatics and Neural Modelling Handbook of Biological Physics 1st Edition by Moss, Gielen 044450284X 9780444502841 Full chapter

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Neuro informatics and Neural Modelling Handbook of Biological Physics 1st Edition F. Moss Digital Instant Download

Author(s): F. Moss, S. Gielen
ISBN(s): 9780444502841, 044450284X
Edition: 1
File Details: PDF, 50.31 MB
Year: 2001
Language: english
SKU: EB-1813776 Category: Tags: ,

Neuro informatics and Neural Modelling Handbook of Biological Physics 1st Edition by F. Moss, S. Gielen – Ebook PDF Instant Download/Delivery: 044450284X, 978-0444502841
Full dowload Neuro informatics and Neural Modelling Handbook of Biological Physics 1st Edition after payment

 

Product details:

ISBN 10:         044450284X
ISBN 13: 978-0444502841
Author:          F. Moss, S. Gielen

How do sensory neurons transmit information about environmental stimuli to the central nervous system? How do networks of neurons in the CNS decode that information, thus leading to perception and consciousness? These questions are among the oldest in neuroscience. Quite recently, new approaches to exploration of these questions have arisen, often from interdisciplinary approaches combining traditional computational neuroscience with dynamical systems theory, including nonlinear dynamics and stochastic processes. In this volume in two sections a selection of contributions about these topics from a collection of well-known authors is presented. One section focuses on computational aspects from single neurons to networks with a major emphasis on the latter. The second section highlights some insights that have recently developed out of the nonlinear systems approach.
 

Neuro informatics and Neural Modelling Handbook of Biological Physics 1st Table of contents:

SECTION 1: STATISTICAL AND NONLINEAR DYNAMICS IN NEUROSCIENCE

Chapter 1. Electrical Stimulation of the Somatosensory System

Chapter 2. Phase Synchronization: From Periodic to Chaotic and Noisy

Chapter 3. Fluctuations in Neural Systems: From Subcellular to Network Levels

Chapter 4. Chaos and the Detection of Unstable Periodic Orbits in Biological Systems

Chapter 5. The Topology and Organization of Unstable Periodic Orbits in Hodgkin„Huxley Models of R

Chapter 6. Controlling Cardiac Arrhythmias: The Relevance of Nonlinear Dynamics

Chapter 7. Controlling the Dynamics of Cardiac Muscle Using Small Electrical Stimuli

Chapter 8. Intrinsic Noise from Voltage-Gated Ion Channels: Effects on Dynamics and Reliability in I

Chapter 9. Phase Synchronization: From Theory to Data Analysis

Chapter 10. Statistical Analysis and Modeling of Calcium Waves in Healthy and Pathological Astrocyte

SECTION 2: BIOLOGICAL PHYSICS OF NEURONS AND NEURAL NETWORKS

Chapter 11. Neurones as Physical Objects: Structure, Dynamics and Function

Chapter 12. A Framework for Spiking Neuron Models: The Spike Response Model

Chapter 13. An Introduction to Stochastic Neural Networks

Chapter 14. Statistical Mechanics of Recurrent Neural Networks I – Statics

Chapter 15. Statistical Mechanics of Recurrent Neural Networks II – Dynamics

Chapter 16. Topologically Ordered Neural Networks

Chapter 17. Geometry of Neural Networks: Natural Gradient for Learning

Chapter 18. Theory of Synaptic Plasticity

Chapter 19. Information Coding in Higher Sensory and Memory Areas

Chapter 20. Population Coding: Efficiency and Interpretation of Neuronal Activity

Chapter 21. Mechanisms of Synchrony of Neural Activity in Large Networks

Chapter 22. Emergence of Feature Selectivity from Lateral Interactions in the Visual Cortex

Chapter 23. Information Transfer Between Sensory and Motor Networks

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