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Computer Analysis of Neuronal Structures
It seems particularly appropriate that this pioneering collection of papers should be dedicated to Donald Sholl since those of us who count, measure, and reconstruct elements of the neural en~emble are all very much in his debt. Sholl was certainly not the first to attempt quantification of certain aspects of brain structure. No computers were available to him for the kind of answers he sought, and some of his answers - or rather his interpretations - may not stand the test of time. But we remember him because of the questions he asked and for the reasons he asked them. At a time when the entire family of Golgi techniques was in almost total eclipse, he had the judgment to rely on them. And in a period when the canonical neuron was a perfect sphere (the enormous dendritic superstructure being almost forgotten), he was one of a very few who looked to dendrite extension and pattern as a prime clue to the overall problem of neuronal connectivity.
The Computational Neurobiology of Reaching and Pointing
An introduction to the computational biology of reaching and pointing, with an emphasis on motor learning. Neuroscience involves the study of the nervous system, and its topics range from genetics to inferential reasoning. At its heart, however, lies a search for understanding how the environment affects the nervous system and how the nervous system, in turn, empowers us to interact with and alter our environment. This empowerment requires motor learning. The Computational Neurobiology of Reaching and Pointing addresses the neural mechanisms of one important form of motor learning. The authors integrate material from the computational, behavioral, and neural sciences of motor control that is...
Neural Control Engineering
How powerful new methods in nonlinear control engineering can be applied to neuroscience, from fundamental model formulation to advanced medical applications. Over the past sixty years, powerful methods of model-based control engineering have been responsible for such dramatic advances in engineering systems as autolanding aircraft, autonomous vehicles, and even weather forecasting. Over those same decades, our models of the nervous system have evolved from single-cell membranes to neuronal networks to large-scale models of the human brain. Yet until recently control theory was completely inapplicable to the types of nonlinear models being developed in neuroscience. The revolution in nonline...
Proceedings of the Winter, 1990, International Joint Conference on Neural Networks
This two volume set provides the complete proceedings of the 1990 International Joint Conference on Neural Networks held in Washington, D.C. Complete with subject, author, and title indices, it provides an invaluable reference to the current state-of-the-art in neural networks. Included in this volume are the latest research results, applications, and products from over 2,000 researchers and application developers from around the world. Ideal as a reference for researchers and practitioners of neuroscience, the two volumes are divided into eight sections: * Neural and Cognitive Sciences * Pattern Recognition and Analysis of Network Dynamics * Learning Theory * Plenary Lecture by Bernard Widrow * Special Lectures on Self-Organizing Neural Architectures * Application Systems and Network Implementations * Robotics, Speech, Signal Processing, and Vision * Expert Systems and Other Real-World Applications
Public Health Service Grants and Awards by the National Institutes of Health
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