{"product_id":"introduction-to-modeling-cognitive-processes-isbn-9780262045360","title":"Introduction to Modeling Cognitive Processes","description":"\u003cb\u003eAn introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. \u003c\/b\u003e\u003cbr\u003e\u003cbr\u003eCognitive neuroscientists need sophisticated conceptual tools to make sense of their field’s proliferation of novel theories, methods, and data. Computational modeling is such a tool, enabling researchers to turn theories into precise formulations. This book offers a mathematically gentle and theoretically unified introduction to modeling cognitive processes. Theoretical exercises of varying degrees of difficulty throughout help readers develop their modeling skills.\u003cbr\u003e \u003cbr\u003eAfter a general introduction to cognitive modeling and optimization, the book covers models of decision making; supervised learning algorithms, including Hebbian learning, delta rule, and backpropagation; the statistical model analysis methods of model parameter estimation and model evaluation; the three recent cognitive modeling approaches of reinforcement learning, unsupervised learning, and Bayesian models; and models of social interaction. All mathematical concepts are introduced gradually, with no background in advanced topics required. Hints and solutions for exercises and a glossary follow the main text. All code in the book is Python, with the Spyder editor in the Anaconda environment. A GitHub repository with Python files enables readers to access the computer code used and start programming themselves. The book is suitable as an introduction to modeling cognitive processes for students across a range of disciplines and as a reference for researchers interested in a broad overview.Preface and Acknowledgments ix\u003cbr\u003e1 What Is Cognitive Modeling? 1\u003cbr\u003e2 Decision Making 17\u003cbr\u003e3 Hebbian Learning 37\u003cbr\u003e4 The Delta Rule 53\u003cbr\u003e5 Multilayer Networks 69\u003cbr\u003e6 Estimating Parameters in Computational Models 89\u003cbr\u003e7 Testing and Comparing Computational Models 107\u003cbr\u003e8 Reinforcement Learning: The Gradient Ascent Approach 123\u003cbr\u003e9 Reinforcement Learning: The Markov Decision Process Approach 133\u003cbr\u003e10 Unsupervised Learning 153\u003cbr\u003e11 Bayesian Models 173\u003cbr\u003e12 Interacting Organisms 191\u003cbr\u003eConvention and Notation 203\u003cbr\u003eGlossary 205\u003cbr\u003eHints and Solutions to Select Exercises 207\u003cbr\u003eNotes 217\u003cbr\u003eReferences 219\u003cbr\u003eIndex 243“Neurocognitive modeling spans many levels of analysis, from neurons to cognitive function. Verguts presents an exceptionally lucid overview of theoretical and methodological approaches in this field that will be an amazing resource for students at all levels.”\u003cbr\u003e—\u003cb\u003eMichael J. Frank, Edgar L. Marston Professor and Director of the Carney Center for Computational Brain Science, Brown University; coauthor of \u003ci\u003eComputational Cognitive Neuroscience\u003c\/i\u003e\u003c\/b\u003e\u003cbr\u003e \u003cbr\u003e“Verguts’s clear and accessible text provides a concise introduction to both classic and contemporary approaches to modeling cognition.  A fantastic on-ramp for those interested in developing precise models of cognitive processing, learning, and development.”\u003cbr\u003e—\u003cb\u003eJames L. McClelland, Director, Center for Mind, Brain, Computation and Technology, Stanford University; author of \u003ci\u003eParallel Distributed Processing, Explorations in Parallel Distributed Processing,\u003c\/i\u003e and \u003ci\u003eSemantic Cognition: A Parallel Distributed Processing Approach\u003c\/i\u003e\u003c\/b\u003eTom Verguts is Professor in the Department of Experimental Psychology at Ghent University. ","brand":"The MIT Press","offers":[{"title":"Default Title","offer_id":46304244891877,"sku":"NP9780262045360","price":50.0,"currency_code":"USD","in_stock":false}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/1842\/7735\/files\/9780262045360.jpg?v=1767730145","url":"https:\/\/k12savings.com\/products\/introduction-to-modeling-cognitive-processes-isbn-9780262045360","provider":"K12savings","version":"1.0","type":"link"}