Computational Models for Neuroscience
Subtitle: Human Cortical Information Processing
By: edited by Robert Hecht-Nielsen, Thomas McKenna
Contributors: McKenna, Thomas
Publisher: Springer London
Published: 2003
Place of publication: London
Language: eng
Format: [electronic resource] :
Number of pages: 300
ISBN-13: 9781447100850
Description: Understanding how the human brain represents, stores, and processes information is one of the greatest unsolved mysteries of science today. The cerebral cortex is the seat of most of the mental capabilities that distinguish humans from other animals and, once understood, it will almost certainly lead to a better knowledge of other brain nuclei. Although neuroscience research has been underway for 150 years, very little progress has been made. What is needed is a key concept that will trigger a full understanding of existing information, and will also help to identify future directions for research. This book aims to help identify this key concept. Including contributions from leading experts in the field, it provides an overview of different conceptual frameworks that indicate how some pieces of the neuroscience puzzle fit together. It offers a representative selection of current ideas, concepts, analyses, calculations and computer experiments, and also looks at important advances such as the application of new modeling methodologies. Computational Models for Neuroscience will be essential reading for anyone who needs to keep up-to-date with the latest ideas in computational neuroscience, machine intelligence, and intelligent systems. It will also be useful background reading for advanced undergraduates and postgraduates taking courses in neuroscience and psychology.
Table of contents: title: List of Contributors; title: The NeuroInteractive Paradigm: Dynamical Mechanics and the Emergence of Higher Cortical Function; title: The Cortical Pyramidal Cell as a Set of Interacting Error Backpropagating Dendrites: Mechanism for Discovering Nature's Order; title: Performance of Intelligence Systems Governed by Internally Generated Goals; title: A Theory of Thalamocortex; title: Elementary Principles of Non-Linear Synaptic Transmission; title: The Development of Cortical Models to Enable Neural-Based Cognitive Architectures; title: The Behaving Human Neocortex as a Dynamic Network of Networks; title: Towards Global Principles of Brain Processing; title: The Neural Networks for Language in the Brain: Creating LAD; title: Cortical Belief Networks Index.