Higher Level Language Processes in the Brain is a groundbreaking book that explains how behavior research, computational models, and brain imaging results can be unified in the study of human comprehension. The volume illustrates the most comprehensive and newest findings on the topic. Each section of the book nurtures the theoretical and practical integration of behavioral, computational, and brain imaging studies along a different avenue, and each is supplementary. Readers with limited background knowledge on the methods are presented with an easy-to-read, state-of-the-art exposition that is conceptualized and written from a well-established point of view.
Higher Level Language Processes in the Brain is intended for advanced undergraduate and graduate cognitive science students, as well as researchers and practitioners who seek to learn and apply scientific knowledge about human comprehension to reading analysis.
Table of Contents
Contents: C.A. Perfetti, F. Schmalhofer, Mind and Brain in Higher Level Comprehension, Editors’ Introduction. Part I: State of the Art. M. Singer, J. Leon, Psychological Studies of Higher Language Processes: Behavioral and Empirical Approaches. S.R. Goldman, R.M. Golden, P. Van den Broek, Why Are Computational Models of Text Comprehension Useful? E.C. Ferstl, The Functional Neuroanatomy of Text Comprehension: What’s the Story So Far? Part II: Computational Models. S. Dennis, W. Kintsch, The Text Mapping and Inference Rule Generation Problems in Text Comprehension: Evaluating a Memory-Based Account. S.L. Frank, M. Koppen, L.G.M. Noordman, W. Vonk, Modeling Multiple Levels of Text Representation. Part III: Integrative Processes in Text Comprehension. F. Schmalhofer, C.A. Perfetti, Neural and Behavioral Indicators of Integration Processes Across Sentence Boundaries. M. Singer, G. Remillard, Retrieval of Explicit and Implicit Text Ideas: Processing Profiles. E.D. Reichle, R.A. Mason, The Neural Signatures of Causal Inferences: A Preliminary Computational Account of Brain-Imaging and Behavioral Data. D.S. McNamara, M. de Vega, T. O’Reilly, Comprehension Skill, Inference Making, and the Role of Knowledge. Part IV: Cognitive Representations. B. Kaup, R.A. Zwaan, J. Lüdtke, The Experiential View of Language Comprehension: How Is Negation Represented? A. Graesser, M. Louwerse, D. McNamara, A. Olney, Z. Cai, H. Mitchell, Inference Generation and Cohesion in the Construction of Situation Models: Some Connections With Computational Linguistics. D.J. Therriault, M. Rinck, Multidimensional Situation Models. D.L. Long, K. Baynes, C. Prat, Sentence and Discourse Representation in the Two Cerebral Hemispheres. I. Tapiero, V. Fillon, Hemispheric Asymmetry in the Processing of Negative and Positive Emotional Inferences. J.P. Magliano, G.A. Radvansky, D.E. Copeland, Beyond Language Comprehension: Situation Models as a Form of Autobiographical Memory.