This volume provides an overview of important work carried out by Professor Walter Freeman of the University of Berkeley, California, USA. Collecting together his published works over the last 35 years, it charts his groundbreaking research into perception and other cognitive operations in animals and humans and looks at how this can be applied to computer hardware to provide the foundations for novel - and greatly improved - machine intelligence. It provides a step-by-step description of the concepts and data needed by electrical engineers, computer scientists and cognitivists to understand and emulate pattern recognition in biological systems at a level of competence which has not yet been matched by any form of Artificial Intelligence. It offers a unique blend of theory and experiment and, historically, it also demonstrates the impact of computers on the design, execution, and interpretation of experiments in neurophysiology over the past five decades.
Neurodynamics: An Exploration in Mesoscopic Brain Dynamics
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prepyriform evoked potential, open loop rate constants, linear distributed feedback model, bilateral saturation, prepyriform electrical activity, pulse probability distributions, digital adaptive filters, zero isopotential, odor bursts, prepyriform cortex, primary olfactory nerve, monopolar records, prolonged habituation, single negative feedback loop, superficial pyramidal cells, feedback subset, limit cycle activity, superficial pole, bipolar records, bulbar neurons, periglomerular neurons, depolarizing bias, triphasic action potential, undercut cortex, glomerular units Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Viana Di Prisco, Brain Res, Academic Press, Lady Middleton, Berkeley Computer Center, National Institute of Mental Health, National Institutes of Health, Physical Review Letters, Sir John, Acknowledgements Reprinted, Acknowledgments Reprinted, Biol Cybern, Journal of Neurophysiology, Biological Cybernetics, Plenum Press, Acknowledgment Reprinted, Cell Sci, Colonel Brandon, Experimental Neurology, Principles of Neural Model Identification, Somesthetic Surface, Spatiotemporal Analysis of Prepyriform, The Physiology of Synapses, United States Public Health Service New!
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prepyriform evoked potential, open loop rate constants, linear distributed feedback model, bilateral saturation, prepyriform electrical activity, pulse probability distributions, digital adaptive filters, zero isopotential, odor bursts, prepyriform cortex, primary olfactory nerve, monopolar records, prolonged habituation, single negative feedback loop, superficial pyramidal cells, feedback subset, limit cycle activity, superficial pole, bipolar records, bulbar neurons, periglomerular neurons, depolarizing bias, triphasic action potential, undercut cortex, glomerular units Key Phrases - Capitalized Phrases (CAPs): (learn more)
New York, Viana Di Prisco, Brain Res, Academic Press, Lady Middleton, Berkeley Computer Center, National Institute of Mental Health, National Institutes of Health, Physical Review Letters, Sir John, Acknowledgements Reprinted, Acknowledgments Reprinted, Biol Cybern, Journal of Neurophysiology, Biological Cybernetics, Plenum Press, Acknowledgment Reprinted, Cell Sci, Colonel Brandon, Experimental Neurology, Principles of Neural Model Identification, Somesthetic Surface, Spatiotemporal Analysis of Prepyriform, The Physiology of Synapses, United States Public Health Service New!
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Front Cover | Table of Contents | First Pages | Index | Back Cover | Surprise Me!
Citations (learn more)
This book cites 40
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9
books
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- The Physiology of Synapses by john eccles on page 88, page 122, and page 208
- Brain Theory: Biological Basis and Computational Principles by A. Aertsen on page 289, page 366, and Back Matter
- Analysis of Neurophysiological Brain Functioning (Springer Series in Synergetics) by Christian Uhl in Back Matter (1), and Back Matter (2)
- Computational Neuroscience by Eric L. Schwartz in Back Matter (1), and Back Matter (2)
- Temporal Coding in the Brain (Research and Perspectives in Neurosciences) by R. Llinas in Back Matter (1), and Back Matter (2)
See all 40 books this book cites
- Dynamical Systems with Applications using MATLAB by Stephen Lynch on page 394, and Back Matter
- Neural Nets WIRN Vietri-01: Proceedings of the 12th Italian Workshop on Neural Nets, Vietri sul Mare, Salerno, Italy, 17-19 May 2001 (Perspectives in Neural Computing) by Roberto Tagliaferri in Front Matter
- Connectionist Models of Learning, Development and Evolution: Proceedings of the Sixth Neural Computation and Psychology Workshop, Liege, Belgium, ... 2000 (Perspectives in Neural Computing) by Robert M. French in Front Matter
- Neural Networks and the Financial Markets: Predicting, Combining and Portfolio Optimisation (Perspectives in Neural Computing) by Jimmy Shadbolt in Front Matter
- Robot Teams: From Diversity to Polymorphism by Tucker Balch in Back Matter
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