A highly readable, non-mathematical introduction to neural networks-computer models that help us to understand how we perceive, think, feel, and act.How does the brain work? How do …
An Introduction to Neural Networks falls into a new ecological niche for texts. Based on notes that have been class-tested for more than a decade, it is aimed at cognitive science …
This book is the companion volume to Rethinking Innateness: A Connectionist Perspective on Development (The MIT Press, 1996), which proposed a new theoretical framework to answer …
This textbook provides a thorough introduction to the field of learning from experimental data and soft computing. Support vector machines (SVM) and neural networks (NN) are the …
Much research focuses on the question of how information is processed in nervous systems, from the level of individual ionic channels to large-scale neuronal networks, and from …
Surprising tales from the scientists who first learned how to use computers to understand the workings of the human brain.Since World War II, a group of scientists has been …
Most practical applications of artificial neural networks are based on a computational model involving the propagation of continuous variables from one processing unit to the next. …
This book provides a comprehensive introduction to the computational material that forms the underpinnings of the currently evolving set of brain models.It is now clear that the …
Since its founding in 1989 by Terrence Sejnowski, Neural Computation has become the leading journal in the field. Foundations of Neural Computation collects, by topic, the most …
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 …
