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Mathematics for Neuroscientists,Used
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Virtually all scientific problems in neuroscience require mathematical analysis, and all neuroscientists are increasingly required to have a significant understanding of mathematical methods. There is currently no comprehensive, integrated introductory book on the use of mathematics in neuroscience; existing books either concentrate solely on theoretical modeling or discuss mathematical concepts for the treatment of very specific problems. This book fills this need by systematically introducing mathematical and computational tools in precisely the contexts that first established their importance for neuroscience. All mathematical concepts will be introduced from the simple to complex using the most widely used computing environment, Matlab.This book will provide a grounded introduction to the fundamental concepts of mathematics, neuroscience and their combined use, thus providing the reader with a springboard to cuttingedge research topics and fostering a tighter integration of mathematics and neuroscience for future generations of students. A very didactic and systematic introduction to mathematical concepts of importance for the analysis of data and the formulation of concepts based on experimental data in neuroscience Provides introductions to linear algebra, ordinary and partial differential equations, Fourier transforms, probabilities and stochastic processes Introduces numerical methods used to implement algorithms related to each mathematical concept Illustrates numerical methods by applying them to specific topics in neuroscience, including HodgkinHuxley equations, probabilities to describe stochastic release, stochastic processes to describe noise in neurons, Fourier transforms to describe the receptive fields of visual neurons Allows the mathematical novice to analyze their results in more sophisticated ways, and consider them in a broader theoretical framework
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- Q: What is the main focus of the book 'Mathematics for Neuroscientists'? A: The book focuses on introducing mathematical and computational tools specifically in the context of neuroscience, bridging the gap between mathematics and neuroscience.
- Q: Who is the author of 'Mathematics for Neuroscientists'? A: The author of the book is Fabrizio Gabbiani.
- Q: What topics are covered in this book? A: The book covers fundamental concepts such as linear algebra, differential equations, Fourier transforms, probabilities, and numerical methods relevant to neuroscience.
- Q: Is 'Mathematics for Neuroscientists' suitable for beginners? A: Yes, the book is designed to be accessible for mathematical novices, systematically introducing concepts from simple to complex.
- Q: What kind of mathematical methods does the book discuss? A: It discusses methods such as ordinary and partial differential equations, Fourier transforms, and stochastic processes, applied to neuroscience topics.
- Q: How many pages does 'Mathematics for Neuroscientists' have? A: The book has a total of 498 pages.
- Q: What is the binding type of this book? A: The book is available in a hardcover binding.
- Q: When was 'Mathematics for Neuroscientists' published? A: The book was published on August 9, 2010.
- Q: Does the book provide practical examples? A: Yes, it illustrates numerical methods by applying them to specific neuroscience topics, such as Hodgkin-Huxley equations and noise in neurons.
- Q: What condition is the book in? A: The book is listed in good condition.