In the new edition of Neural Assemblies, the author places his original
ideas and motivations within the framework of modern and cognitive
neuroscience and gives a short and focused overview of the development
of computational neuroscience and artificial neural networks over the
last 40 years.
In this book the author develops a theory of how the human brain might
function. Starting with a motivational introduction to the brain as an
organ of information processing, he presents a computational perspective
on the basic concepts and ideas of neuroscience research on the
underlying principles of brain function. In addition, the reader is
introduced to the most important methods from computer science and
mathematical modeling that are required for a computational
understanding of information processing in the brain.
Written by an expert in the field of neural information processing, this
book offers a personal historical view of the development of artificial
intelligence, artificial neural networks, and computational cognitive
neuroscience over the last 40 years, with a focus on the realization of
higher cognitive functions rather than more peripheral sensory or motor
organization. The book is therefore aimed at students and researchers
who want to understand how the basic neuroscientific and computational
concepts in the study of brain function have changed over the last
decades.
