Statistical Signal Processing for Neuroscience and Neurotechnology (Hardcover)

Karim G. Oweiss

商品描述

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

商品描述(中文翻譯)

這是一本獨特而全面的參考書,總結了信號處理理論和技術在神經科學中解決新興問題的最新狀態,並清晰地呈現了針對神經生物環境特性量身定制的新理論、算法、軟件和硬件工具。它廣泛概述了統計信號處理在基礎和應用神經科學問題中的基本原理、理論和方法。

本書由該領域的專家撰寫,是研究神經工程、神經界面、計算神經科學、神經信息學、神經心理學和神經生理學的研究人員的理想參考資料。通過廣泛概述基本原理、理論和方法,它也是神經科學中統計信號處理的理想入門。


  • 全面概述神經科學中需要信號處理社區現有理論、技術和技術發展的特定問題

  • 包含用於神經科學研究的最新信號處理、信息理論和機器學習算法和技術

  • 呈現可以應用於基礎和轉化神經科學問題的定量和信息驅動科學