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Springer - Signal Processing in Neuroscience Textbook

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Description

Explore the evolving field of Neuronal Signal Processing (NSP) with this comprehensive guide from Springer. This book provides a systematic introduction to the various models and methods used in neural signalling processing, making it an essential resource for those studying the intersection of computer science and neuroscience. As NSP rapidly establishes itself as a vital tool, this text helps bridge the gap between experimentalists and computer scientists. It offers a unique opportunity to connect these two disciplines through shared technical understanding. Readers will learn how to utilize new signal-processing tools alongside existing computational methods to analyze neural activity. By understanding these techniques, you can better interpret data monitored through different sensors, enhancing your ability to study complex neural functions. Whether you are a researcher or a student, this book serves as a foundational guide to understanding modern neural activity analysis.

Key Features

Systematic introduction to various models and methods used specifically within the context of Neuronal Signal Processing (NSP).

Bridges the gap between experimentalists and computer scientists to create a stronger connection between these two fields.

Provides new signal-processing tools that work in conjunction with existing computational methods for neural activity analysis.

Covers the application of processing techniques for data monitored through different types of sensors.

Explores the rapidly growing field of NSP as it establishes itself within computer science and neuroscience.

Product Specifications

Colour
White
Format
paperback
Domain
Amazon UK
Release Date
21 April 2018
Listed Since
23 April 2018

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No barcode data available

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