[Fundamentals Book] ✓ Fundamentals of Computational Neuroscience PDF by Thomas Trappenberg ✓ eBook or Kindle ePUB free

• Title : Fundamentals of Computational Neuroscience
• Author : Thomas Trappenberg
• Rating : 4.51 (776 Vote)
• Publish : 2015-11-4
• Format : Paperback
• Pages : 147 Pages
• Asin : B00F1D7K90
• Language :

Given the complexity of the field, and its increasing importance in progressing ourunderstanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic.The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first

Given the complexity of the field, and its increasing importance in progressing our
understanding of how the brain works, there has long been a need for an introductory text on what is often assumed to be an impenetrable topic.

The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. The book covers the introduction and motivation of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. An accompanying webpage includes programs for download. Additionally, it introduces several fundamental network architectures and discusses their
relevance for information processing in the brain, giving some examples of models of higher-order cognitive functions to demonstrate the advanced insight that can be gained with such studies.

Each chapter starts by introducing its topic with experimental facts and conceptual questions related to the study of brain function. Although not a new area, it is only recently that enough knowledge has been gathered to establish computational neuroscience as a scientific discipline in its own right. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. Computational neuroscience is the theoretical study of the brain to uncover the principles a

. Thomas Trappenberg, Department of Psychology, University of Oxford and Department of Computing Science, Dalhousie University, Canada

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"The book is small enough to be manageable in a semester-long course, but it is large enough to contain a wonderful amount of material. A very useful book for its clarity of presentation and success in teaching modeling."--The Quarterly Review of Biology