Palm G. Neural Assemblies: An Alternative Approach to Classical Artificial Intelligence

2nd edition. — Springer, 2022. — 689 p. — ISBN 978-3-031-00311-0.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.Basic Facts and Ideas for a Brain
The Brain Is an Organ for Information Processing
The Organization and Improvement of Behavior
A Neuronal Realization of the Survival Algorithm
On the Structure and Function of Cortical Areas
Thinking in Cell Assemblies
Cognitive Mental Processes Realized by Cell Assemblies in the Cortex
A Model of Language Understanding by Interacting Cortical Areas
Can We Accept a Mechanistic Description of Our Cognitive Mental Processes?
Further Developments Until Today
Developments in Computer Science and Technical Applications
New Results from Brain Research and Neuroscience
The Development of Brain Theory
Do We Need Cognitive Neuroscience?