An Introduction to Computational Neuroscience
by Todd Troyer
Publisher: University of Texas at San Antonio 2005
Number of pages: 181
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).
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by Ivan F Wilde - King's College London
These notes are based on lectures given in the Mathematics Department at King's College London. An attempt has been made to present a logical (mathematical) account of some of the basic ideas of the 'artificial intelligence' aspects of the subject.
by Alex Pappachen James (ed.) - InTech
This book covers a range of models, circuits and systems built with memristor devices and networks in applications to neural networks. It is divided into three parts: 1) Devices, 2) Models and 3) Applications. Various memristor models are discussed.
by Ben Krose, Patrick van der Smagt
This manuscript attempts to provide the reader with an insight in artificial neural networks. The choice of describing robotics and vision as neural network applications coincides with the neural network research interests of the authors.
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.