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Plausible Neural Networks for Biological Modelling
The expression 'Neural Networks' refers traditionally to a class of mathematical algorithms that obtain their proper performance while they 'learn' from examples or from experience. As a consequence, they are suitable for performing straightforward and relatively simple tasks like classification, pattern recognition and prediction, as well as more sophisticated tasks like the processing of temporal sequences and the context dependent processing of complex problems. Also, a wide variety of control tasks can be executed by them, and the suggestion is relatively obvious that neural networks perform adequately in such cases because they are thought to mimic the biological nervous system which is...
NeuralSource
Derived from the database Neural Base (still available at $495.00), this bibliography, covering more than 4,000 references, is an important collection of research information. Extensive annotations have been added to approximately 75% of the entries in the print version. Periodicals, private reports, and books are included. Indexed by author, keyword, and publication. Neurons were slacking off when A mathematical theory... was indexed under "A". Annotation copyrighted by Book News, Inc., Portland, OR
Perception
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The Management of Common Land in North West Europe, C. 1500-1850
Until the 19th century very large areas of Western Europe were subject to some degree to common rights, where individual users collectively managed resources such as pasture and wood which were central to the agrarian economy. Much scholarship has focused on the dissolution of these rights and the effects of the enclosure of common land on society and agricultural productivity. In contrast, this volume seeks to assess in a comparative framework the long-term management of the common lands and the relative success of strategies in providing the resources sought by the rural population. Chapters covering northern and southern England, France, the Netherlands, Flanders, Sweden and northern and ...
Prognosis of Neurological Disorders
This is the first comprehensive book devoted to the prognosis of neurological disorders. It addresses the questions: what is the natural history and how does medical and/or surgical treatment alter the outcome? Introductory chapters view prognosis from the perspective of a medical ethicist using coma as an example; a psychologist exploring how a patient's perception of prognosis might alter outcome; and a neuroepidemiology group examining the methodology of prognostic studies. In discussing the various types of neurological disease, the authors consistently provide an introduction to the topic, a review of the relevant literature, and a critical assessment of the prognostic factors. This volume is a practical guide for the clinician that can be used on a daily basis as a reference source when discussing prognosis with patients and their families and with other members of the health care team. It will be of interest to neurologists, neurosurgeons, physiatrists, neuropsychologists, internists, and attorneys. In years to come, outcome analysis will be of increasing importance as beleaguered health care payers attempt to provide the most cost-effective treatment possible.
The 1989 Neuro-computing Bibliography
This comprehensive bibliography provides a functional, flexible tool for researchers and engineers in neurocomputing.
