An introduction to model-based cognitive neuroscience
著者
書誌事項
An introduction to model-based cognitive neuroscience
Springer, c2015
- : [hardback]
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注記
Includes bibliographical references and index
内容説明・目次
内容説明
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.
目次
0 Preface
1 An Introduction to Cognitive Modeling
Simon Farrell, Stephan Lewandowsky
2 An Introduction to Good Practices in Cognitive Modeling
Andrew Heathcote, Scott D. Brown, Eric-Jan Wagenmakers
3 An Introduction to the Diffusion Model of Decision Making
Philip L. Smith, Roger Ratcliff
4 An Introduction to Human Brain Anatomy
Birte U. Forstmann, Max C. Keuken, Anneke Alkemade
5 An Introduction to fMRI
F. Gregory Ashby
6 An Introduction to Neuroscientific Methods: Single-cell Recordings
Veit Stuphorn, Xiaomo Chen
7 Model-Based Cognitive Neuroscience: A Conceptual Introduction
Birte U. Forstmann, Eric-Jan Wagenmakers
8 Linking Across Levels of Computation in Model-based Cognitive Neuroscience
Michael J. Frank
9 Bayesian Models in Cognitive Neuroscience: A Tutorial
Jill X. O'Reilly, Rogier B. Mars
10 Constraining Cognitive Abstractions Through Bayesian Modeling
Brandon M. Turner
11 Predictive Coding in Sensory Cortex
Peter 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 Making
Jochen Ditterich
14 Optimal Decision Making in the Cortico-Basal-Ganglia Circuit
Rafal Bogacz
15 Inhibitory Control in Mind and Brain: The Mathematics and Neurophysiology of the Underlying Computation
Gordon D. Logan, Jeffrey D. Schall, Thomas J. Palmeri
16 Reciprocal Interactions of Computational Modeling and Empirical Investigation
William H. Alexander, Joshua W. Brown
17 Using the ACT-R Cognitive Architecture in Combination with fMRI Data
Jelmer P. Borst, John R. Anderson
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