An Introduction to Computational Neuroscience
by Todd Troyer
Publisher: University of Texas at San Antonio 2005
Number of pages: 181
Description:
These notes have three main objectives: (i) to present the major concepts in the field of computational neuroscience, (ii) to present the basic mathematics that underlies these concepts, and (iii) to give the reader some idea of common approaches taken by computational neuroscientists when combining (i) and (ii).
Download or read it online for free here:
Download link
(2.5MB, PDF)
Similar books

by Raul Rojas - Springer
A general theory of artificial neural nets. The book starts with the simple nets, and shows how the models change when more general computing elements and net topologies are introduced. Suitable as a basis for university courses in neurocomputing.
(15502 views)

by Christian Dawson - MDPI AG
This Special Issue focuses on the application of neural networks to a diverse range of fields and problems. It collates contributions concerning neural network applications in areas such as engineering, hydrology and medicine.
(6301 views)

by Kenji Suzuki (ed.) - InTech
Artificial neural networks may be the single most successful technology in the last two decades. The purpose of this book is to provide recent advances in architectures, methodologies, and applications of artificial neural networks.
(13717 views)

by David Kriesel - dkriesel.com
Text and illustrations should be memorable and easy to understand to offer as many people as possible access to the field of neural networks. The chapters are individually accessible to readers with little previous knowledge.
(29178 views)