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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
Table of Contents
Detection and Classification of Extracellular Action Potential Recordings
Information-Theoretic Analysis of Neural Data
Identification of Nonlinear Dynamics in Neural Population Activity
Graphical Models of Functional and Effective Neuronal Connectivity
State-Space Modeling of Neural Spike Train and Behavioral Data
Neural Decoding for Motor and Communication Prostheses
Inner Products for Representation and Learning in the Spike Train Domain
Signal Processing and Machine Learning for Single-trial Analysis of Simultaneously Acquired EEG and fMRI
Statistical Pattern Recognition and Machine Learning in Brain-Computer Interfaces
Prediction of Muscle Activity from Cortical Signals to Restore Hand Grasp in Subjects with Spinal Cord Injury:
Table of Contents provided by Publisher. All Rights Reserved.