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The Psychology of Learning and Motivation
- 1st Edition, Volume 76 - June 17, 2022
- Editor: Kara D. Federmeier
- Language: English
- Hardback ISBN:9 7 8 - 0 - 3 2 3 - 9 9 0 9 8 - 1
- eBook ISBN:9 7 8 - 0 - 3 2 3 - 9 9 0 9 9 - 8
The Psychology of Learning and Motivation, Volume 76, the latest release in this ongoing series, features empirical and theoretical contributions in cognitive and experi… Read more
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Request a sales quoteThe Psychology of Learning and Motivation, Volume 76, the latest release in this ongoing series, features empirical and theoretical contributions in cognitive and experimental psychology, ranging from classical and instrumental conditioning, to complex learning and problem-solving.
- Presents the latest information in the highly regarded Psychology of Learning and Motivation series
- Provides an essential reference for researchers and academics in cognitive science
- Contains information relevant to both applied concerns and basic research
Researchers and students in cognitive psychology
- Cover image
- Title Page
- Table of Contents
- Copyright
- Contributors
- Chapter One: Understanding cerebellar function through network perspectives: A review of resting-state connectivity of the cerebellum
- Abstract
- 1: Introduction
- 2: The human cerebellum
- 3: Information super highways: Methods for studying cerebellar networks
- 4: The human cerebellum at rest
- 5: Implications for understanding cerebellar function
- 6: Conclusions
- Acknowledgments
- References
- Chapter Two: What if they're just not that into you (or your experiment)? On motivation and psycholinguistics
- Abstract
- 1: Introduction
- 2: The “ideal speaker-hearer”
- 3: Online vs. offline data
- 4: Comprehension probes
- 5: Feedback during experiments
- 6: Open ended questions and qualitative analyses
- 7: Modulating motivation: Taking cues from second language acquisition (SLA)
- 8: Conclusion
- References
- Further reading
- Chapter Three: Spectral characteristics of visual working memory in the monkey frontoparietal network
- Abstract
- 1: Introduction
- 2: Memory
- 3: Working memory models
- 4: Large-scale networks supporting cognition
- 5: Data acquisition
- 6: Time-frequency analysis
- 7: Working memory nonhuman primate tasks
- 8: Task-dependent oscillations
- 9: Frequency bands
- 10: Choice of tasks
- 11: Limitations
- 12: Frequency band activity in spatial vs non-spatial working memory
- 13: Frequency band activity in visuospatial working memory
- 14: Conclusion
- References
- Chapter Four: The N400 in silico: A review of computational models
- Abstract
- 1: General introduction
- 2: Word-level models
- 3: Sentence-level models
- 4: Summary of models in relation to cognitive and biological constraints
- 5: A predictive coding account of the N400
- 6: Future directions
- Acknowledgments
- References
- Chapter Five: Dynamic decision making: Empirical and theoretical directions
- Abstract
- 1: Introduction
- 2: Empirical review
- 3: Candidate explanations and future directions
- 4: Conclusion
- References
- Chapter Six: Connecting movement and cognition through different modes of learning
- Abstract
- 1: Introduction
- 2: Disparate delays in sensory transduction, transmission and sensory motor transformations for action could play a role in screening developmental disorders earlier than current social-cognitive criteria
- 3: Coordinate transformation and frames of refence for purposeful and exploratory actions
- 4: Kinesthetic reafference bridging movement and cognition
- 5: The degrees of freedom problem: Kinematics of natural motions
- 6: Fundamentally different modes of learning and motivation
- 7: Considering contextual variations for learning, transfer and generalization
- 8: Spontaneous autonomy, exploratory learning and human agency: The role of reafference in learning to own one's actions and their consequences
- 9: Concluding thoughts
- References
- No. of pages: 294
- Language: English
- Edition: 1
- Volume: 76
- Published: June 17, 2022
- Imprint: Academic Press
- Hardback ISBN: 9780323990981
- eBook ISBN: 9780323990998
KF
Kara D. Federmeier
Kara D. Federmeier received her Ph.D. in Cognitive Science from the University of California, San Diego. She is a Professor in the Department of Psychology and the Neuroscience Program at the University of Illinois and a full-time faculty member at the Beckman Institute for Advanced Science and Technology, where she leads the Illinois Language and Literacy Initiative and heads the Cognition and Brain Lab. She is also a Past President of the Society for Psychophysiological Research. Her research examines meaning comprehension and memory using human electrophysiological techniques, in combination with behavioral, eyetracking, and other functional imaging and psychophysiological methods. She has been funded by the National Institute on Aging, the Institute of Education Sciences, and the James S. McDonnell Foundation.
Affiliations and expertise
Professor, Department of Psychology, University of Illinois Urbana-Champaign, IL, USARead The Psychology of Learning and Motivation on ScienceDirect