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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
Attention for Chapter 6: An Introduction to Neuroscientific Methods: Single-cell Recordings
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Chapter title
An Introduction to Neuroscientific Methods: Single-cell Recordings
Chapter number 6
Book title
An Introduction to Model-Based Cognitive Neuroscience
Published by
Springer New York, January 2015
DOI 10.1007/978-1-4939-2236-9_6
Book ISBNs
978-1-4939-2235-2, 978-1-4939-2236-9
Authors

Veit Stuphorn, Xiaomo Chen

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 7 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 29%
Student > Bachelor 1 14%
Lecturer > Senior Lecturer 1 14%
Researcher 1 14%
Student > Postgraduate 1 14%
Other 0 0%
Unknown 1 14%
Readers by discipline Count As %
Psychology 4 57%
Neuroscience 2 29%
Unknown 1 14%