Brain and Behavior Computing provides an insight into the functions of the human brain. This book provides an emphasis on brain and behavior computing with different modalities available such as signal and image processing, data science, statistics, distributed computing including fundamentals, model, algorithms, case studies, and research scope. It further illustrates brain signal sources and how the brain signal can process, manipulate and transform in different domains to extract information about the physiological condition of the brain. Emphasizes real challenges in brain signal processing for a variety of applications for analysis, classification, clustering and identification Discusses data science and its applications in brain computing supported by visualizations Covers all recent tools to analyse the brain and its workings Describes brain modeling and all possible machine learning methods and their uses Augments the use of data mining and machine learning to brain computer interface (BCI) devices Includes case studies and real-time simulation examples Book is aimed at researchers, professionals, and graduate students in image processing and computer vision, biomedical engineering, signal processing, and brain and behavior computing.