By Pierre Baldi, Gianluca Pollastri, Claus A. F. Andersen, Søren Brunak (auth.), Helge Malmgren BA, PhD, MD, Magnus Borga MSc, PhD, Lars Niklasson BSc, MSc, PhD (eds.)
This ebook includes the court cases of the convention ANNIMAB-l, held 13-16 may perhaps 2000 in Goteborg, Sweden. The convention was once prepared by means of the Society for synthetic Neural Networks in medication and Biology (ANNIMAB-S), which used to be validated to advertise study inside of a brand new and certainly cross-disciplinary box. Forty-two contributions have been authorized for presentation; as well as those, S invited papers also are integrated. examine inside drugs and biology has frequently been characterized via software of statistical tools for comparing area particular info. The becoming curiosity in synthetic Neural Networks has not just brought new equipment for facts research, but in addition spread out for improvement of latest versions of organic and ecological platforms. The ANNIMAB-l convention is targeting a few of the many makes use of of synthetic neural networks with relevance for drugs and biology, in particular: • clinical functions of man-made neural networks: for larger diagnoses and end result predictions from scientific and laboratory info, within the processing of ECG and EEG signs, in clinical snapshot research, and so forth. greater than 1/2 the contributions tackle such clinically orientated concerns. • makes use of of ANNs in biology open air medical drugs: for instance, in versions of ecology and evolution, for facts research in molecular biology, and (of direction) in types of animal and human fearful structures and their services. • Theoretical points: fresh advancements in studying algorithms, ANNs in terms of professional structures and to conventional statistical systems, hybrid platforms and integrative approaches.
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Additional resources for Artificial Neural Networks in Medicine and Biology: Proceedings of the ANNIMAB-1 Conference, Göteborg, Sweden, 13–16 May 2000
Simulated lesions in the input units produced results matching those observed in real animals. 5 Conclusions From the studies discussed above, it is clear that neural networks models provided a powerful tool for elucidating the dynamic complexities of discriminatory processing in behavioral and evolutionary contexts. In some studies, the plausibility of existing hypotheses about choice and discrimination were examined. In most studies, new hypotheses were generated and these are now open for testing.
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