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An Introduction to Model-Based Cognitive Neuroscience

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Cover of 'An Introduction to Model-Based Cognitive Neuroscience'

Table of Contents

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    Book Overview
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    Chapter 1 An Introduction to Cognitive Modeling
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    Chapter 2 An Introduction to Good Practices in Cognitive Modeling
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    Chapter 3 An Introduction to the Diffusion Model of Decision Making
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    Chapter 4 An Introduction to Human Brain Anatomy
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    Chapter 5 An Introduction to fMRI
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    Chapter 6 An Introduction to Neuroscientific Methods: Single-cell Recordings
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    Chapter 7 Model-Based Cognitive Neuroscience: A Conceptual Introduction
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    Chapter 8 Linking Across Levels of Computation in Model-Based Cognitive Neuroscience
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    Chapter 9 Bayesian Models in Cognitive Neuroscience: A Tutorial
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    Chapter 10 Constraining Cognitive Abstractions Through Bayesian Modeling
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    Chapter 11 Predictive Coding in Sensory Cortex
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    Chapter 12 Using Human Neuroimaging to Examine Top-down Modulation of Visual Perception
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    Chapter 13 Distinguishing Between Models of Perceptual Decision Making
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    Chapter 14 Optimal Decision Making in the Cortico-Basal-Ganglia Circuit
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    Chapter 15 Inhibitory Control in Mind and Brain: The Mathematics and Neurophysiology of the Underlying Computation
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    Chapter 16 Reciprocal Interactions of Computational Modeling and Empirical Investigation
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    Chapter 17 Using the ACT-R Cognitive Architecture in Combination With fMRI Data
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Title
An Introduction to Model-Based Cognitive Neuroscience
Published by
Springer New York, January 2015
DOI 10.1007/978-1-4939-2236-9
ISBNs
978-1-4939-2235-2, 978-1-4939-2236-9
Authors

Forstmann, Birte U. (Ed), Wagenmakers, Eric-Jan (Ed)

Editors

Forstmann, Birte U., Wagenmakers, Eric-Jan

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 501 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 5 <1%
Germany 3 <1%
France 3 <1%
Netherlands 2 <1%
Brazil 2 <1%
Russia 2 <1%
Spain 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Other 2 <1%
Unknown 477 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 115 23%
Student > Master 90 18%
Researcher 74 15%
Student > Bachelor 53 11%
Student > Doctoral Student 32 6%
Other 62 12%
Unknown 75 15%
Readers by discipline Count As %
Psychology 150 30%
Neuroscience 94 19%
Computer Science 27 5%
Agricultural and Biological Sciences 27 5%
Medicine and Dentistry 24 5%
Other 71 14%
Unknown 108 22%