An Introduction to Model-Based Cognitive Neuroscience (eBook)

Birte Forstmann is a Professor for Cognitive Neurosciences at the University of Amsterdam as well as honorary professor at the University of Leiden. She earned her PhD in 2006 at the Max Planck Institute for Human Cognitive and Brain Sciences in Leipzig, Germany. After completing her postdoc in 2008 at the University of Amsterdam, she became tenured Research Fellow at the Cognitive Science Center Amsterdam with the focus of model-based cognitive neurosciences. Since then she has contributed to a range of topics in cognitive neuroscience, experimental psychology, mathematical psychology, and lately also in quantitative neuroanatomy. Eric-Jan (EJ) Wagenmakers is a professor at the Psychological Methods Unit of the University of Amsterdam. His current work concerns Bayesian inference, philosophy of science, mathematical models of cognition, and model-based cognitive neuroscience. His studies in cognitive neuroscience are guided by the conviction that mathematical process models can provide useful structure and constraint for the analysis and interpretation of brain data.

0 Preface1 An Introduction to Cognitive ModelingSimon Farrell, Stephan Lewandowsky 2 An Introduction to Good Practices in Cognitive ModelingAndrew Heathcote, Scott D. Brown, Eric-Jan Wagenmakers 3 An Introduction to the Diffusion Model of Decision MakingPhilip L. Smith, Roger Ratcliff 4 An Introduction to Human Brain AnatomyBirte U. Forstmann, Max C. Keuken, Anneke Alkemade 5 An Introduction to fMRIF. Gregory Ashby 6 An Introduction to Neuroscientific Methods: Single-cell RecordingsVeit Stuphorn, Xiaomo Chen 7 Model-Based Cognitive Neuroscience: A Conceptual IntroductionBirte U. Forstmann, Eric-Jan Wagenmakers 8 Linking Across Levels of Computation in Model-based Cognitive NeuroscienceMichael J. Frank 9 Bayesian Models in Cognitive Neuroscience: A TutorialJill X. O’Reilly, Rogier B. Mars 10 Constraining Cognitive Abstractions Through Bayesian ModelingBrandon M. Turner 11 Predictive Coding in Sensory CortexPeter Kok, Floris P. de Lange 12 Using Human Neuroimaging to Examine Top-down Modulation of Visual Perception   Thomas C. Sprague, John T. Serences 13 Distinguishing between Models of Perceptual Decision MakingJochen Ditterich 14 Optimal Decision Making in the Cortico-Basal-Ganglia CircuitRafal Bogacz 15 Inhibitory Control in Mind and Brain: The Mathematics and Neurophysiology of the Underlying ComputationGordon D. Logan, Jeffrey D. Schall, Thomas J. Palmeri 16 Reciprocal Interactions of Computational Modeling and Empirical InvestigationWilliam H. Alexander, Joshua W. Brown 17 Using the ACT-R Cognitive Architecture in Combination with fMRI DataJelmer P. Borst, John R. Anderson