£130.96

Springer Wavelets in Neuroscience - 2nd Edition Book

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Description

Explore the complex dynamics of neural systems with Wavelets in Neuroscience, part of the Springer Series in Synergetics. This 2nd edition provides a detailed look at how modern mathematical wavelet transform techniques offer new perspectives on brain activity. By moving beyond classical approaches, this text helps researchers understand neural behavior across multiple scales, ranging from the microscopic dynamics of individual cells to the macroscopic patterns seen in large neural networks. This book serves as a guide for understanding single neuron and populational neural recordings. It demonstrates the specific advantages of using wavelet-based mathematical tools in neuroscientific research. The updated edition includes discussions on novel areas and significant advances that have emerged from recent experimental techniques. Whether you are studying cellular mechanics or large-scale network behavior, this resource provides the mathematical framework needed to analyze complex biological data effectively.

Key Features

Analyzes neural systems at multiple levels, covering everything from microscopic individual cell dynamics to macroscopic large neural network behavior.

Compares modern wavelet transform techniques against classical mathematical approaches to show where wavelet tools provide a distinct advantage.

Provides detailed descriptions of both single neuron and populational neural recordings for comprehensive data analysis.

Includes updated content in this 2nd edition regarding novel research areas and advances from recent experimental techniques.

Part of the respected Springer Series in Synergetics, offering professional mathematical insights for neuroscience research.

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