Progress in biological cybernetics research /
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ISBN:9781600219689
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简介
Summary:
Publisher Summary 1
Whether conducted as pure research or as a way to address a specific condition or illness, this discipline necessarily includes studies of biological systems, theory, computation, technology, information processing, artificial implementation of biological information processing and self-organization principles. The six articles here cover these studies, whether alone or in combination, and include brain-emulating cognition and control architecture (used in robot control, natural language processing, and visual perception), two-variable models that form a basis for further investigation of neuronal information processing mechanisms, predictive oculomotor tracking and its stability (based on relationships amongst dynamical systems, information theory and probability), novel tools for simulating human trajectory formation in complex whole-body tasks, suppression of neuromuscular noise through impedance modulation, and human-like control strategies to improve rehabilitation exercises using electrical simulation to create biomimetic neuroprostheses. References are fairly up to date, but readers should verify data independently. Annotation 漏2008 Book News, Inc., Portland, OR (booknews.com)
Publisher Summary 2
Focuses on research progress in biological cybernetics which includes experimental, theoretical and application-oriented aspects of information processing in organisms, including sensory, motor, cognitive, and ecological phenomena. This book includes topics on experimental studies of biological systems.
目录
Table of Contents:
Preface BECCA: A Brain Emulating Cognition and Control Architecture (Brandon Rohrer, Sandia Nat. Lab., Albuquerque, NM and Steven Hulet, Brigham Young University, Provo, UT) The Lur'e Framework for Modeling and Analysis of Neuronal Oscillator (T. Iwasaki and M. Zheng, Univ. of Virginia, Charlottesville, VA) Stability of Predictive Oculmotor Tracking: An Exploration of the Relationships between Dynamical Systems, Information Theory, and Probability (Mark Shelhamer, The John Hopkins Univ., Sch. of Medicine, Baltimore, MD, and Wilsaan M. Joiner, Dept. of Biomedical Engineering) A Novel Tool for Simulating Human Trajectory Formation in Complex Whole Body Tasks (M. Tagliabue, G. Ferrigno and Alessandra Pedrocchi, NIT Lab, Dept. Bioengineering, Milan, Italy, and T. Pozzo, Univ. De Bougogne, Dijon, FR) Suppression of Neuromuscular Noise Through Impedance Modulation (Dieen J.H. Van, Selen L.P.J., and P. J. Beek, Inst. for Fundamental and Clinical Human Movement Sciences, Vrije Univ. Amsterdam) Biomimetic Neuroprostheses: Human-Like Control Strategies to Improve Training Rehabilitative Exercises Using Functional Electrical Stimulation (S. Ferrante, A. Pedrocchi, and G. Ferrigno, NITlab, Dept. of Bioengineering, Milan, Italy) Index
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