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Book Synopsis
An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. 

Cognitive 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.
 
After 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 reinforc

Introduction to Modeling Cognitive Processes

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    A Hardback by Tom Verguts

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      Publisher: MIT Press Ltd
      Publication Date: 01/02/2022
      ISBN13: 9780262045360, 978-0262045360
      ISBN10: 0262045362
      Also in:
      Cognition and cognitive psychology

      Description

      Book Synopsis
      An introduction to computational modeling for cognitive neuroscientists, covering both foundational work and recent developments. 

      Cognitive 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.
       
      After 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 reinforc

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