"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…
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…
"Until recently, genetic, neuroanatomical, and psychological investigations on neurodevelopmental disorders were carried out independently. Now, tremendous advances across all disciplines have brought us toward a new scientific frontier: the integration of molecular genetics with a developmental cognitive neuroscience. The goal is to understand the basic mechanisms by which genes and environmen…
To many science and engineering students, the task of writing may seem irrelevant to their future professional careers. At MIT, however, students discover that writing about their technical work is important not only in solving real-world problems but also in developing their professional identities. MIT puts into practice the belief that "engineers who don't write well end up working for engin…
In this book, Josh Lerner and Mark Schankerman, drawing on a new, large-scale database, show that open source and proprietary software interact in sometimes unexpected ways, and discuss the policy implications of these findings.
Experts discuss the implications of the ways humans reach decisions through the conscious and subconscious processing of information. Conscious control enables human decision makers to override routines, to exercise willpower, to find innovative solutions, to learn by instruction, to decide collectively, and to justify their choices. These and many more advantages, however, come at a price: the…
Experts discuss the implications of the ways humans reach decisions through the conscious and subconscious processing of information. Conscious control enables human decision makers to override routines, to exercise willpower, to find innovative solutions, to learn by instruction, to decide collectively, and to justify their choices. These and many more advantages, however, come at a price: the…
This title explores recent developments in the tools and techniques of data acquisition and analysis in cognitive electrophysiology.
This is a guide to computational modelling methods in neuroscience covering a range of modelling scales from molecular reactions to large neural networks.