This book presents the latest techniques in neuroinformatics through advanced models for sharing neuroscience data.' (Raj Tummala, Doody’s Review Service, August, 2008)

… is an essential book for anyone looking for a better understanding of the fast growing field of neuroinformatics.

… It is targeted primarily at anyone working in neurosciences research such as students, clinicians, and scientists. 'This is a comprehensive review of the latest in the complex field that combines neuroscience and informatics research to develop tools that will assist in better understanding the brain.

Neuroinformatics will be an essential text for all those interested in keeping up with the latest issues in neuroinformatics and/or learning about and joining this field of research. The final section, Neuroinformatics in Genetics and Neurodegenerative Diseases, demonstrate the value of using components of neuroinformatics as a way to understand the complex disorders of Dementia, Schizophrenia and Alzheimer’s disease. The third section, Imaging, focuses on informatics representation and approaches to the structural complexity of the brain using a variety of both traditional and non-invasive imaging methods. The second section, Computational Neuronal Modeling and Simulations, presents in-depth expert summaries on specific computational models and simulations as well as approaches to data mining. The first, Neuroscience Knowledge Management, has outstanding chapters dealing with the critical issues germane to computer science as applied to neuroscience. Neuroinformatics is conceptually divided into four sections. Nearly a decade and a half after the launch of the Human Brain Project, this timely volume will help to refocus and enhance current research by informing both new and current Neuroinformatics practitioners. This volume provides the scientific community with the tools and impetus for sharing their research with colleagues around the globe by offering insights, information, and compelling examples of success. Neuroinformatics presents cutting-edge techniques for the synergistic study of neuroinformatics, thereby facilitating the efforts of discovery neuroscience through the sharing of data and the use of computational models.

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