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An Introduction to Model-Based Cognitive Neuroscience

✍ Scribed by Birte U. Forstmann, Eric-Jan Wagenmakers (eds.)


Publisher
Springer-Verlag New York
Year
2015
Tongue
English
Leaves
358
Edition
1
Category
Library

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✦ Synopsis


Two recent innovations, the emergence of formal cognitive models and the addition of cognitive neuroscience data to the traditional behavioral data, have resulted in the birth of a new, interdisciplinary field of study: model-based cognitive neuroscience. Despite the increasing scientific interest in model-based cognitive neuroscience, few active researchers and even fewer students have a good knowledge of the two constituent disciplines. The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field will provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book will also include a thorough list of references pointing the reader towards additional literature and online resources.

✦ Table of Contents


Front Matter....Pages i-xi
Front Matter....Pages 1-1
An Introduction to Cognitive Modeling....Pages 3-24
An Introduction to Good Practices in Cognitive Modeling....Pages 25-48
An Introduction to the Diffusion Model of Decision Making....Pages 49-70
An Introduction to Human Brain Anatomy....Pages 71-89
An Introduction to fMRI....Pages 91-112
An Introduction to Neuroscientific Methods: Single-cell Recordings....Pages 113-137
Model-Based Cognitive Neuroscience: A Conceptual Introduction....Pages 139-156
Front Matter....Pages 157-157
Linking Across Levels of Computation in Model-Based Cognitive Neuroscience....Pages 159-177
Bayesian Models in Cognitive Neuroscience: A Tutorial....Pages 179-197
Constraining Cognitive Abstractions Through Bayesian Modeling....Pages 199-220
Predictive Coding in Sensory Cortex....Pages 221-244
Using Human Neuroimaging to Examine Top-down Modulation of Visual Perception....Pages 245-274
Front Matter....Pages 275-275
Distinguishing Between Models of Perceptual Decision Making....Pages 277-290
Optimal Decision Making in the Cortico-Basal-Ganglia Circuit....Pages 291-302
Inhibitory Control in Mind and Brain: The Mathematics and Neurophysiology of the Underlying Computation....Pages 303-320
Reciprocal Interactions of Computational Modeling and Empirical Investigation....Pages 321-338
Using the ACT-R Cognitive Architecture in Combination With fMRI Data....Pages 339-352
Back Matter....Pages 353-354

✦ Subjects


Neurosciences; Neuropsychology


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