Forstmann B.U., Wagenmakers E.-J. (eds.) An Introduction to Model-Based Cognitive Neuroscience

New York: Springer, 2015. - 354 p.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.An Introduction to Cognitive Modeling
An Introduction to Good Practices in Cognitive Modeling
An Introduction to the Diffusion Model of Decision Making
An Introduction to Human Brain Anatomy
An Introduction to fMRI
An Introduction to Neuroscientific Methods: Single-cell Recordings
Model-Based Cognitive Neuroscience: A Conceptual IntroductionLinking Across Levels of Computation in Model-Based Cognitive Neuroscience
Bayesian Models in Cognitive Neuroscience: A Tutorial
Constraining Cognitive Abstractions Through Bayesian Modeling
Predictive Coding in Sensory Cortex
Using Human Neuroimaging to Examine Top-down Modulation of Visual PerceptionDistinguishing Between Models of Perceptual Decision Making
Optimal Decision Making in the Cortico-Basal-Ganglia Circuit
Inhibitory Control in Mind and Brain: The Mathematics and Neurophysiology of the Underlying Computation
Reciprocal Interactions of Computational Modeling and Empirical Investigation
Using the ACT-R Cognitive Architecture in Combination With fMRI Data