Computational Neuroscience

Discover the fascinating world of brain modeling with Computational Neuroscience by Erik De Schutter, published by Taylor & Francis Inc in 2000. This comprehensive guide spans 368 pages and is designed primarily for experimentalists seeking to delve into realistic modeling methods. The book emphasizes essential methodological approaches, helping readers select appropriate techniques while highlighting potential pitfalls to avoid. What sets this resource apart is its inclusion of downloadable materials that offer interactive modeling experiences, enriching your understanding of computational neuroscience. Whether you're a student, researcher, or professional in the fields of neuroscience, artificial intelligence, or computational biology, this book is an invaluable addition to your library. Equip yourself with the tools and knowledge to navigate the complexities of neural computing and enhance your research capabilities.