Statistical Signal Processing for Neuroscience and Neurotechnology

Nonfiction, Science & Nature, Technology, Electricity, Health & Well Being, Medical, Specialties, Internal Medicine, Neuroscience, Science
Cover of the book Statistical Signal Processing for Neuroscience and Neurotechnology by , Elsevier Science
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart
Author: ISBN: 9780080962962
Publisher: Elsevier Science Publication: September 22, 2010
Imprint: Academic Press Language: English
Author:
ISBN: 9780080962962
Publisher: Elsevier Science
Publication: September 22, 2010
Imprint: Academic Press
Language: English

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.

Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience.

  • A comprehensive overview of the specific problems in neuroscience that require application of existing and development of new theory, techniques, and technology by the signal processing community
  • Contains state-of-the-art signal processing, information theory, and machine learning algorithms and techniques for neuroscience research
  • Presents quantitative and information-driven science that has been, or can be, applied to basic and translational neuroscience problems
View on Amazon View on AbeBooks View on Kobo View on B.Depository View on eBay View on Walmart

This is a uniquely comprehensive reference that summarizes the state of the art of signal processing theory and techniques for solving emerging problems in neuroscience, and which clearly presents new theory, algorithms, software and hardware tools that are specifically tailored to the nature of the neurobiological environment. It gives a broad overview of the basic principles, theories and methods in statistical signal processing for basic and applied neuroscience problems.

Written by experts in the field, the book is an ideal reference for researchers working in the field of neural engineering, neural interface, computational neuroscience, neuroinformatics, neuropsychology and neural physiology. By giving a broad overview of the basic principles, theories and methods, it is also an ideal introduction to statistical signal processing in neuroscience.

More books from Elsevier Science

Cover of the book The Heart in Rheumatic, Autoimmune and Inflammatory Diseases by
Cover of the book Matlab® in Bioscience and Biotechnology by
Cover of the book Handbook of Magnetic Materials by
Cover of the book Electrospinning for Tissue Regeneration by
Cover of the book Advances in Heterocyclic Chemistry by
Cover of the book Consciousness Transitions by
Cover of the book The Evolution of Molecular Biology by
Cover of the book New Concepts in the Management of Septic Perianal Conditions by
Cover of the book Advances in Planar Lipid Bilayers and Liposomes by
Cover of the book Wave Mechanics and Wave Loads on Marine Structures by
Cover of the book Improving the User Experience through Practical Data Analytics by
Cover of the book Oil Trading Manual by
Cover of the book Advances in Imaging and Electron Physics by
Cover of the book China and India by
Cover of the book Understanding AC Circuits by
We use our own "cookies" and third party cookies to improve services and to see statistical information. By using this website, you agree to our Privacy Policy