"A Bradford book."This book brings together an international group of neuroscientists and philosophers who are investigating how the content of subjective experience is correlated with events in the brain. The fundamental methodological problem in consciousness research is the subjectivity of the target phenomenon--the fact that conscious experience, under standard conditions, is always tied to…
"Granino A. Kom has been a Professor of Electrical Engineering at the University of Arizona and has worked in the aerospace industry for a decade. He is the author of ten other engineering texts and handbooks.""A Bradford Book.""Most neural network programs for personal computers simply control a set of fixed, canned network-layer algorithms with pulldown menus. This new tutorial offers hands-o…
"A Bradford book.""Using the tools of complexity theory, Stephen Judd develops a formal description of associative learning in connectionist networks. He rigorously exposes the computational difficulties in training neural networks and explores how certain design principles will or will not make the problems easier. Judd looks beyond the scope of any one particular learning rule, at a level abo…
"A Bradford book."Stephen Grossberg and his colleagues at Boston University's Center for Adaptive Systems are producing some of the most exciting research in the neural network approach to making computers "think." Packed with real-time computer simulations and rigorous demonstrations of these phenomena, this book includes results on vision, speech, cognitive information processing; adaptive pa…
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 s…
Essays on great figures and important issues, advances and blind alleys-from trepanation to the discovery of grandmother cells-in the history of brain sciences.
"A Bradford book.""Artificial neural networks are nonlinear mapping systems whose structure is loosely based on principles observed in the nervous systems of humans and animals. The basic idea is that massive systems of simple units linked together in appropriate ways can generate many complex and interesting behaviors. This book focuses on the subset of feedforward artificial neural networks c…
"A Bradford book.""Based on a workshop held at the University of New Hampshire in October, 1988, sponsored by the National Science Foundation, and entitled 'The application of neural networks to robotics and control'"--Preface."Neural Networks for Control brings together examples of all the most important paradigms for the application of neural networks to robotics and control. Primarily concer…
If we are to solve the central problems in the philosophy of science, Paul Churchland argues, we must draw heavily on the resources of the emerging sciences of the mind-brain. A Neurocomputationial Perspective illustrates the fertility of the concepts and data drawn from the study of the brain and of artificial networks that model the brain. These concepts bring unexpected coherence to scattere…
"A Bradford book."This timely overview and synthesis of recent work in both artificial neural networks and neurobiology seeks to examine neurobiological data from a network perspective and to encourage neuroscientists to participate in constructing the next generation of neural networks. Individual chapters were commissioned from selected authors to bridge the gap between present neural network…