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This book is for students and researchers who have a specific interest in learning and memory and want to understand how computational models can be integrated into experimental …
Many science and engineering applications require the user to find solutions to systems of nonlinear constraints or to optimize a nonlinear function subject to nonlinear …
Model checking is a technique for verifying finite state concurrent systems such as sequential circuit designs and communication protocols. It has a number of advantages over …
The use of innovative computational models in political economic research as a complement to traditional analytical methodologies.Researchers are increasingly turning to …
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 …
How the simulation and visualization technologies so pervasive in science, engineering, and design have changed our way of seeing the world.Over the past twenty years, the …
The advent of ever more sophisticated molecular manipulation techniques has made it clear that cellular systems are far more complex and dynamic than previously thought. At the …
An overview of theoretical and computational approaches to neuroimaging.Functional imaging tools such as fMRI (functional magnetic resonance imaging), PET (positron emission …
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 …
New research on the adaptive behavior of natural and synthetic agents.The biannual International Conference on the Simulation of Adaptive Behavior brings together researchers from …