Neural Networks And Neural Fields


Download Neural Networks And Neural Fields PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Neural Networks And Neural Fields 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.

Download

Neural Networks and Neural Fields


Neural Networks and Neural Fields

Author: Roderick Edwards

language: en

Publisher:

Release Date: 1994


DOWNLOAD





Neural Networks and Neural Fields [microform] : Discrete and Continuous Space Neural Models


Neural Networks and Neural Fields [microform] : Discrete and Continuous Space Neural Models

Author: Roderick Edwards

language: en

Publisher: National Library of Canada = Bibliothèque nationale du Canada

Release Date: 1994


DOWNLOAD





Neural Fields


Neural Fields

Author: Stephen Coombes

language: en

Publisher: Springer

Release Date: 2014-06-17


DOWNLOAD





Neural field theory has a long-standing tradition in the mathematical and computational neurosciences. Beginning almost 50 years ago with seminal work by Griffiths and culminating in the 1970ties with the models of Wilson and Cowan, Nunez and Amari, this important research area experienced a renaissance during the 1990ties by the groups of Ermentrout, Robinson, Bressloff, Wright and Haken. Since then, much progress has been made in both, the development of mathematical and numerical techniques and in physiological refinement und understanding. In contrast to large-scale neural network models described by huge connectivity matrices that are computationally expensive in numerical simulations, neural field models described by connectivity kernels allow for analytical treatment by means of methods from functional analysis. Thus, a number of rigorous results on the existence of bump and wave solutions or on inverse kernel construction problems are nowadays available. Moreover, neural fields provide an important interface for the coupling of neural activity to experimentally observable data, such as the electroencephalogram (EEG) or functional magnetic resonance imaging (fMRI). And finally, neural fields over rather abstract feature spaces, also called dynamic fields, found successful applications in the cognitive sciences and in robotics. Up to now, research results in neural field theory have been disseminated across a number of distinct journals from mathematics, computational neuroscience, biophysics, cognitive science and others. There is no comprehensive collection of results or reviews available yet. With our proposed book Neural Field Theory, we aim at filling this gap in the market. We received consent from some of the leading scientists in the field, who are willing to write contributions for the book, among them are two of the founding-fathers of neural field theory: Shun-ichi Amari and Jack Cowan.