Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly for more than ten years to graduate students in neuroscience with backgrounds in biology, psychology and medicine, takes its readers on a journey through three fundamental domains of computational neuroscience: membrane biophysics, systems theory and artificial neural networks. The required mathematical concepts are kept as intuitive and simple as possible throughout the book, making it fully accessible to readers who are less familiar with mathematics. Overall, Computational Neuroscience - A First Course represents an essential reference guide for all neuroscientists who use computational methods in their daily work, as well as for any theoretical scientist approaching the field of computational neuroscience.
|Statement||by Hanspeter A Mallot|
|Series||Springer Series in Bio-/Neuroinformatics -- 2|
|Contributions||SpringerLink (Online service)|
|The Physical Object|
|Format||[electronic resource] :|
|Pagination||XII, 135 p. 62 illus.|
|Number of Pages||135|
As far as an online introduction, it would be hard to beat Scholarpedia, started by leading computational neuroscientist (and now founder of Brain Corporation) Eugene. Computational neuroscience (also known as theoretical neuroscience or mathematical neuroscience) is a branch of neuroscience which employs mathematical models, theoretical analysis and abstractions of the brain to understand the principles that govern the development, structure, physiology and cognitive abilities of the nervous system.. In theory, computational neuroscience would be a sub. Computational neuroscience is an approach to understanding the development and function of nervous systems at many different structural scales, including the biophysical, the circuit, and the systems levels. the book or at the end of each chapter. The basic thinking behind this approach is that the key contributions of computational neuroscience are conceptual, and do not rely on a deep understand-ing of the underlying mathematics. Separating the math allows the ideas to be presented to a.
An old version of text is also available on eduevazquez.com Kindle (also avail for free as a mobi file you can email to your kindle) -- this is not recommended for students taking courses -- see above PDF / bound book options. This is a new wiki textbook, serving as a 2nd edition to Computational Explorations in Cognitive Neuroscience CECN. Computational Neuroscience Concepts, Models, and Methods This is a Wikipedia book, a collection of Wikipedia articles that can be easily saved, imported by an external electronic rendering service, and ordered as a printed book. The thirty original contributions in this book provide a working definition of"computational neuroscience" as the area in which problems lie simultaneously within computerscience and neuroscience. They review this emerging field in historical and philosophical overviewsand in stimulating summaries of recent results. Leading researchers address the structure of thebrain and the computational 1/5(1). Computational Neuroscience: A Window to Understanding How the Brain Works "The brain computes!" declared Christof Koch, who explained at the Frontiers of Science symposium how a comparatively new field, computational neuroscience, has crystallized an increasingly coherent way of examining the brain.
Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture series held regularly. CCNBook/Book. From Computational Cognitive Neuroscience Wiki. Jump to: navigation, search. Computational Cognitive Neuroscience 0. Frontmatter CCNBook/Frontmatter CCNBook/Contributors 1. Introduction CCNBook/Intro Part I -- Basic Computational Mechanisms 2. The Neuron. Computational Neuroscience - A First Course provides an essential introduction to computational neuroscience and equips readers with a fundamental understanding of modeling the nervous system at the membrane, cellular, and network level. The book, which grew out of a lecture. This book focuses on our current understanding of brain dynamics in various brain disorders (e.g. epilepsy, Alzheimer’s and Parkinson’s disease) and how the multi-scale, multi-levels tools of computational neuroscience can enhance this understanding. Edited by Vassilis Cutsuridis.