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000726655 020__ $$a9781493922369$$qelectronic book
000726655 020__ $$a149392236X$$qelectronic book
000726655 020__ $$z9781493922352
000726655 0247_ $$a10.1007/978-1-4939-2236-9$$2doi
000726655 035__ $$aSP(OCoLC)ocn907922507
000726655 035__ $$aSP(OCoLC)907922507
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000726655 050_4 $$aQP360.5$$b.I58 2015eb
000726655 08204 $$a612.8/233$$223
000726655 24503 $$aAn introduction to model-based cognitive neuroscience$$h[electronic resource] /$$cBirte U. Forstmann, Eric-Jan Wagenmakers, editors.
000726655 264_1 $$aNew York, NY :$$bSpringer,$$c2015.
000726655 300__ $$a1 online resource (xi, 354 pages) :$$billustrations.
000726655 336__ $$atext$$btxt$$2rdacontent
000726655 337__ $$acomputer$$bc$$2rdamedia
000726655 338__ $$aonline resource$$bcr$$2rdacarrier
000726655 500__ $$aIncludes index.
000726655 504__ $$aIncludes bibliographical references and index.
000726655 5050_ $$aPreface -- An Introduction to Cognitive Modeling -- An Introduction to Good Practices in Cognitive Modeling -- An Introduction to the Diffusion Model of Decision Making -- An Introduction to Human Brain Anatomy -- An Introduction to fMRI -- An Introduction to Neuroscientific Methods: Single-cell Recordings -- Model-Based Cognitive Neuroscience: A Conceptual Introduction -- Linking Across Levels of Computation in Model-based Cognitive Neuroscience -- Bayesian Models in Cognitive Neuroscience: A Tutorial -- Constraining Cognitive Abstractions Through Bayesian Modeling -- Predictive Coding in Sensory Cortex -- Using Human Neuroimaging to Examine Top-down Modulation of Visual Perception -- Distinguishing between Models of Perceptual Decision Making -- Optimal Decision Making in the Cortico-Basal-Ganglia Circuit -- Inhibitory Control in Mind and Brain: The Mathematics and Neurophysiology of the Underlying Computation -- Reciprocal Interactions of Computational Modeling and Empirical Investigation -- Using the ACT-R Cognitive Architecture in Combination with fMRI Data.
000726655 506__ $$aAccess limited to authorized users.
000726655 520__ $$aTwo recent innovations, the emergence of formal cognitive models and the addition of cognitive neuroscience data to the traditional behavioral data, have resulted in the birth of a new, interdisciplinary field of study: model-based cognitive neuroscience. Despite the increasing scientific interest in model-based cognitive neuroscience, few active researchers and even fewer students have a good knowledge of the two constituent disciplines. The main goal of this edited collection is to promote the integration of cognitive modeling and cognitive neuroscience. Experts in the field will provide tutorial-style chapters that explain particular techniques and highlight their usefulness through concrete examples and numerous case studies. The book will also include a thorough list of references pointing the reader towards additional literature and online resources.
000726655 588__ $$aOnline resource; title from PDF title page (SpringerLink, viewed April 23, 2015).
000726655 650_0 $$aCognitive neuroscience$$xMathematical models.
000726655 650_0 $$aHuman behavior models.
000726655 7001_ $$aForstmann, Birte U.,$$eeditor.
000726655 7001_ $$aWagenmakers, Eric-Jan,$$eeditor.
000726655 77608 $$iPrint version:$$tIntroduction to model-based cognitive neuroscience.$$dNew York : Springer, [2015]$$z9781493922352$$w(DLC)18445083
000726655 852__ $$bebk
000726655 85640 $$3SpringerLink$$uhttps://univsouthin.idm.oclc.org/login?url=http://link.springer.com/10.1007/978-1-4939-2236-9$$zOnline Access$$91397441.1
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000726655 980__ $$aEBOOK
000726655 980__ $$aBIB
000726655 982__ $$aEbook
000726655 983__ $$aOnline
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