£113.94

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£114 today · 30-day average £106 · all-time low £103

Springer Quantitative Neuroscience: Models & Algorithms - Vol. 2

Amazon

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Description

Quantitative Neuroscience: Models, Algorithms, Diagnostics, and Therapeutic Applications Volume 2 explores the intersection of advanced mathematics and neuroscience, demonstrating how signal processing, nonlinear dynamics, statistics, and optimisation theory revolutionise our understanding of the human brain. This volume from Springer's Biocomputing series examines how improved instrumentation and modern computer systems enable researchers to apply mathematical rigour to complex neuroimaging data. High-resolution neuroimaging now provides unprecedented access to brain structure and function in both clinical and research environments. The book covers mathematical techniques for studying complex nonlinear systems and chaos theory as applied to neuroscience, offering practitioners and researchers practical frameworks for analysing brain data and developing diagnostic and therapeutic applications.

Key Features

Volume 2 of the Biocomputing series focuses on quantitative methods for analysing neuroimaging data and brain signals using advanced mathematical approaches.

Combines signal processing, nonlinear dynamics, and statistics to develop diagnostic tools and therapeutic applications in neuroscience research.

Published by Springer, providing rigorous academic treatment of how optimisation theory and chaos mathematics apply to understanding complex brain systems.

Bridges instrumentation advances and computational methods for processing high-resolution neuroimaging from clinical and research settings.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
31 January 2004
Listed Since
09 December 2006

Barcode

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