Daniel S. Levine

Introduction to Neural and Cognitive Modeling (eBook, PDF)

3rd Edition

• Format: PDF

Produktbeschreibung

This textbook provides a general introduction to the field of neural networks, concentrating on networks for modeling brain processes involved in cognitive and behavioral functions.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 480
• Erscheinungstermin: 26. Oktober 2018
• Englisch
• ISBN-13: 9780429828805
• Artikelnr.: 54532127

Autorenporträt

Daniel S. Levine is Professor of Psychology at the University of Texas at Arlington. He is a Fellow and former President of the International Neural Network Society. His research involves computational modeling of brain processes in decision making and cognitive-emotional interactions.

Inhaltsangabe

Contents
Part I: Foundations of Neural Network Theory
Chapter 1: Neural Networks for Modeling Behavior
Chapter 2: Historical Outline
Chapter 3: Associative Learning and Synaptic Plasticity
Chapter 4: Competition, Lateral Inhibition, and Short-Term Memory
Part II: Computational Cognitive Neuroscience
Chapter 5: Progress in Cognitive Neuroscience
Chapter 6: Models of Conditioning and Reinforcement Learning
Chapter 7: Models of Coding, Categorization, and Unsupervised Learning
Chapter 8: Models of Supervised Pattern and Category Learning
Chapter 9: Models of Complex Mental Functions
Appendices
Appendix 1: Mathematical Techniques for Neural Networks
Appendix 2: Basic Facts of Neurobiology
References