Title
Fundamentals Of Computational Neuroscience
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Only Recently That Enough Knowledge Has Been Gathered To Establish Computational Neuroscience As A Scientific Discipline In Its Own Right. Given The Complexity Of The Topic, And Its Increasing Importance In Progressing Our Understanding Of How The Brain Works, There Has Long Been A Need For An Introductory Text On This Complex Topic. This Book Is One Of The First Introductory Books On This Topic. It Introduces The Theoretical Foundations Of Neuroscience With A Focus On The Nature Of Information Processing In The Brain.This Book Covers The Introduction And Motivation Of Simplified Models Of Neurons That Are Suitable For Exploring Information Processing In Large Brainlike Networks. Additionally, It Introduces Several Fundamental Network Architectures And Discusses Their Relevance For Information Processing In The Brain, Giving Some Examples Of Models Of Higherorder Cognitive Functions To Demonstrate The Advanced Insight That Can Be Gained With Such Studies. An Additional Feature Is The Inclusion Of Simple Matlab Programs That Can Be Used To Explore Many Of The Mechanisms Explained In The Book. An Accompanying Webpage Includes Programs For Download.
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- Q: What is the page count of this book? A: This book has three hundred sixty pages. It provides a comprehensive introduction to computational neuroscience, making it suitable for educational purposes.
- Q: What are the dimensions of the book? A: The book measures nine point four one inches in length, zero point seven one inches in width, and six point seven inches in height. These dimensions make it portable and easy to handle.
- Q: What type of binding does the book have? A: The book is available in paperback binding. This option is popular for its affordability and ease of use.
- Q: How should I read this book for best understanding? A: To best understand the material, read the book sequentially, as it builds foundational knowledge in computational neuroscience. Take notes and work through the accompanying Matlab programs for practical insights.
- Q: Is this book suitable for beginners in neuroscience? A: Yes, this book is designed as an introductory text for beginners. It simplifies complex concepts, making them accessible to those new to the field.
- Q: What audience is this book intended for? A: The book is intended for students and professionals interested in cognitive psychology and computational neuroscience. It provides valuable insights for anyone looking to understand brain information processing.
- Q: How do I care for this book? A: To keep the book in good condition, store it in a dry place and avoid exposing it to direct sunlight. Handle it gently to prevent wear and tear.
- Q: Is there a risk of damage if I store this book on a shelf? A: No, there is minimal risk of damage if stored properly on a shelf. Ensure it’s upright and not overloaded with other books to avoid bending.
- Q: Can I clean this book if it gets dirty? A: Yes, you can clean the cover with a damp cloth. Avoid using harsh chemicals to preserve the quality of the paperback.
- Q: What if I receive a damaged copy of the book? A: If you receive a damaged copy, contact the retailer for a return or exchange. Ensure you keep the receipt for easy processing.
- Q: Is there a warranty for this book? A: No, books typically do not come with warranties. However, many retailers offer return policies for damaged items.
- Q: How do I contact customer support for issues with this book? A: Contact the retailer’s customer support through their website or phone number. They can assist with any issues you might encounter.
- Q: How does this book compare to other neuroscience texts? A: This book is unique as it focuses on computational models, unlike many others that cover broader topics. It is ideal for those specifically interested in information processing.
- Q: Is this book appropriate for advanced learners? A: While primarily aimed at beginners, advanced learners can also benefit from the foundational concepts and Matlab programs included.
- Q: What topics are covered in this book? A: The book covers theoretical foundations, simplified models of neurons, network architectures, and cognitive function models, providing a well-rounded understanding of computational neuroscience.