Publisher's Synopsis
In recent years there has been a substantial growth of interest in parallel distributed processing among experimental psychologists and neurobiologists. Many neurobiologists hope that current developments in the formal analysis of neural networks will provide a bridge between psychological accounts of cognitive function and accounts couched at the neural level.;This book examines the implications of these new developments and their influence on experimental psychology and neurobiology. Part 1 looks at formal PDP models, introducing the approach and discussing the all-important assumptions and algorithms. Part 2 discusses the implications of these models for psychology, covering both human and animal research. Part 3 is concerned with the implications for neurobiology. Each of the parts is introduced by a short chapter outlining some of the issues discussed and alluded to in the main chapters that follow.