Title
Computational Modeling Methods For Neuroscientists (Computational Neuroscience Series),Used
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Computational Modeling Methods For Neuroscientists (Computational Neuroscience Series)
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Frequently Asked Questions
- Q: What is the main focus of 'Computational Modeling Methods for Neuroscientists'? A: The book focuses on computational modeling methods in neuroscience, covering a range of modeling scales from molecular reactions to large neural networks.
- Q: Is this book suitable for beginners in computational modeling? A: Yes, the book is intended for experimental neuroscientists and graduate students with little formal training in mathematical methods, making it accessible for beginners.
- Q: Who are the contributors to this book? A: The book features contributions from prominent scientists such as Pablo Achard, Haroon Anwar, Upinder S. Bhalla, and many others who have successfully integrated data-driven modeling with experimental work.
- Q: What topics does the first chapter cover? A: The first chapter explains the mathematical methods necessary for understanding the rest of the book, keeping the mathematics at an introductory level.
- Q: How many pages does the book have? A: The book has a total of 419 pages.
- Q: What is the publication date of this book? A: The book was published on September 4, 2009.
- Q: What type of binding does this book have? A: The book is available in hardcover binding.
- Q: Can this book help in selecting appropriate modeling methods? A: Yes, the book emphasizes the selection of appropriate methods and discusses potential pitfalls, making it a practical guide.
- Q: Is there any overlap in the chapters? A: The chapters offer comprehensive coverage with little overlap, and they include extensive cross-references.
- Q: Who is the primary author of this book? A: The primary author is Erik De Schutter.