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.‎ This is 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.‎ It contains state‎-of‎-the‎-art signal processing‎,‎ information theory‎,‎ and machine learning algorithms and techniques for neuroscience research‎.‎ It presents quantitative and information‎-driven science that has been‎,‎ or can be‎,‎ applied to basic and translational neuroscience problems‎.‎