- An integrated view of neuroinformatics for a multidisciplinary audience
- Explores and explains new work being done in neuroinformatics
- Cross-disciplinary with chapters for computer scientists and neuroscientists
- An excellent tool for graduate students coming to neuroinformatics research from diverse disciplines and for neuroscientists seeking a comprehensive introduction to the subject
- Discusses, in-depth, the structuring of masses of data by a variety of computational models
- Clearly defines computational neuroscience - the use of computational techniques and metaphors to investigate relations between neural structure and function
- Offers a guide to resources and algorithms that can be found on the Web
- Written by internationally renowned experts in the field
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