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An Introduction to Model-Based Cognitive Neuroscience

An Introduction

Specificaties
Gebonden, 467 blz. | Engels
Springer New York | 2015e druk, 2015
ISBN13: 9781493922352
Rubricering
Springer New York 2015e druk, 2015 9781493922352
Verwachte levertijd ongeveer 9 werkdagen

Samenvatting

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.

Specificaties

ISBN13:9781493922352
Taal:Engels
Bindwijze:gebonden
Aantal pagina's:467
Uitgever:Springer New York
Druk:2015

Inhoudsopgave

<p>0 Preface</p><p><p><p>1 An Introduction to Cognitive Modeling</p><p>Simon Farrell, Stephan Lewandowsky</p><p> </p><p>2 An Introduction to Good Practices in Cognitive Modeling</p><p>Andrew Heathcote, Scott D. Brown, Eric-Jan Wagenmakers</p><p> </p><p>3 An Introduction to the Diffusion Model of Decision Making</p><p>Philip L. Smith, Roger Ratcliff</p><p> </p><p>4 An Introduction to Human Brain Anatomy</p><p>Birte U. Forstmann, Max C. Keuken, Anneke Alkemade</p><p> </p><p>5 An Introduction to fMRI</p><p>F. Gregory Ashby</p><p> </p><p>6 An Introduction to Neuroscientific Methods: Single-cell Recordings</p><p>Veit Stuphorn, Xiaomo Chen</p><p> </p><p>7 Model-Based Cognitive Neuroscience: A Conceptual Introduction</p><p>Birte U. Forstmann, Eric-Jan Wagenmakers</p><p> </p><p>8 Linking Across Levels of Computation in Model-based Cognitive Neuroscience</p><p>Michael J. Frank</p><p> </p><p>9 Bayesian Models in Cognitive Neuroscience: A Tutorial</p><p>Jill X. O’Reilly, Rogier B. Mars</p><p> </p><p>10 Constraining Cognitive Abstractions Through Bayesian Modeling</p><p>Brandon M. Turner</p><p> </p><p>11 Predictive Coding in Sensory Cortex</p><p>Peter Kok, Floris P. de Lange</p><p> </p><p>12 Using Human Neuroimaging to Examine Top-down Modulation of Visual Perception   Thomas C. Sprague, John T. Serences</p><p> </p><p>13 Distinguishing between Models of Perceptual Decision Making</p><p>Jochen Ditterich</p><p> </p><p>14 Optimal Decision Making in the Cortico-Basal-Ganglia Circuit</p><p>Rafal Bogacz</p><p> </p><p>15 Inhibitory Control in Mind and Brain: The Mathematics and Neurophysiology of the Underlying Computation</p><p>Gordon D. Logan, Jeffrey D. Schall, Thomas J. Palmeri</p><p> </p><p>16 Reciprocal Interactions of Computational Modeling and Empirical Investigation</p><p>William H. Alexander, Joshua W. Brown</p><p> </p><p>17 Using the ACT-R Cognitive Architecture in Combination with fMRI Data</p>Jelmer P. Borst, John R. Anderson

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        An Introduction to Model-Based Cognitive Neuroscience