Fundamentals Of Computational Neuroscience 2nd Edition
Download Fundamentals Of Computational Neuroscience 2nd Edition PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Fundamentals Of Computational Neuroscience 2nd Edition book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages.
Fundamentals of Computational Neuroscience
Author: Thomas Trappenberg
language: en
Publisher: Oxford University Press (UK)
Release Date: 2010
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 of simplified models of neurons that are suitable for exploring information processing in large brain-like networks. Additionally, it introduces several fundamental networkarchitectures 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 begained with such studies.
Fundamentals of Computational Neuroscience
Author: Thomas P. Trappenberg
language: en
Publisher: Oxford University Press
Release Date: 2023
The new edition of Fundamentals of Computational Neuroscience build on the success and strengths of the previous editions. Completely redesigned and revised, it introduces the theoretical foundations of neuroscience with a focus on the nature of information processing in the brain.
The Cambridge Handbook of Computational Cognitive Sciences
Author: Ron Sun
language: en
Publisher: Cambridge University Press
Release Date: 2023-05-11
The Cambridge Handbook of Computational Cognitive Sciences is a comprehensive reference for this rapidly developing and highly interdisciplinary field. Written with both newcomers and experts in mind, it provides an accessible introduction of paradigms, methodologies, approaches, and models, with ample detail and illustrated by examples. It should appeal to researchers and students working within the computational cognitive sciences, as well as those working in adjacent fields including philosophy, psychology, linguistics, anthropology, education, neuroscience, artificial intelligence, computer science, and more.