Fundamentals of Computational Neuroscience by Thomas Trappenberg

Fundamentals of Computational Neuroscience

byThomas Trappenberg

Paperback | December 18, 2009

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Computational neuroscience is the theoretical study of the brain to uncover the principles and mechanisms that guide the development, organization, information processing, and mental functions of the nervous system. Although not a new area, it is only recently that enough knowledge has beengathered to establish computational neuroscience as a scientific discipline in its own right. 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 bean impenetrable topic.The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the first edition. It introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain. The book covers the introduction and motivation ofsimplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental network architectures and discusses their relevance for information processing in the brain, giving some examples of models ofhigher-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. 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 webpageincludes programs for download. The book will be the essential text for anyone in the brain sciences who wants to get to grips with this topic.

About The Author

Thomas Trappenberg is Professor in the Faculty of Computer Science at Dalhousie University, Canada.

Details & Specs

Title:Fundamentals of Computational NeuroscienceFormat:PaperbackDimensions:416 pages, 9.69 × 7.44 × 0.04 inPublished:December 18, 2009Publisher:Oxford University PressLanguage:English

The following ISBNs are associated with this title:

ISBN - 10:0199568413

ISBN - 13:9780199568413

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Table of Contents

1. IntroductionBasic Neurons2. Neurons and conductance-based models3. Simplified neuron and population models4. Associators and synaptic plasiticityBasic Networks5. Cortical organizations and simple networks6. Feed-forward mapping networks7. Cortical feature maps and competitive population coding8. Recurrent associative networks and episodic memorySystem-Level Models9. Modular networks, motor control, and reinforcement learning10. The cognitive brainA. Some useful mathematicsB. Numerical calculusC. Basic probability theoryD. Basic information theoryE. A brief introduction to MATLAB