Levene D.S. Introduction to Neural and Cognitive Modeling

New York: Psychology Press, 2018. — 481 p.Providing a thorough introduction to the field of neural networks, this edition concentrates on networks for modeling brain processes involved in cognitive and behavioral functions. Part I explores the philosophy of modeling and the field’s history, starting from the mid-1940s, and then discusses past models of associative learning and of short-term memory that provide building blocks for more complex recent models. Part II of the book reviews recent experimental findings in cognitive neuroscience and discusses models of conditioning, categorization, category learning, vision, visual attention, sequence learning, behavioral control, decision-making, reasoning, and creativity. The book presents these models both as abstract ideas and through examples and concrete data for specific brain regions.
The book includes two appendices to help ground the reader: one reviewing the mathematics used in network modeling, and a second reviewing basic neuroscience at both the neuron and brain region level. The book also includes equations, practice exercises, and thought experiments.Flow Chart of the Book
Preface to the Third EditionNotation Used in the BookFoundations of Neural Network TheoryNeural Networks for Modeling Behavior
Historical Outline
Associative Learning and Synaptic Plasticity
Competition, Lateral Inhibition, and Short-Term MemoryComputational Cognitive NeuroscienceProgress in Cognitive Neuroscience
Models of Conditioning and Reinforcement Learning
Models of Coding, Categorization, and Unsupervised Learning
Models of Supervised Pattern and Category Learning
Models of Complex Mental FunctionsAppendices
Mathematical Techniques for Neural Networks
Basic Facts of NeurobiologyAuthor Index
Subject Index