Intelligence in a Physical World, Volume 83 in The Psychology of Learning and Motivation series, 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. Chapters in this new release include The genetic and neuronal basis of animal architecture, Adopting whole-brain computational modeling to investigate neurophysiological features, Dynamical and robotic modeling of brain motivational and decision-making systems, Attention and consciousness are one and the same, Hierarchical processing in the brain: Insights from predictive coding and its neural signatures, and much more.
Additional sections cover Scratching the itch of "not knowing": Non-instrumental information-seeking in humans, How do emotions move us? Emotional influence can occur by changing perceivers' feelings, bodies, and inferences, Cultural bodybuilding: the embodied influence of culture on perception and action, and Beyond dyadic interaction and shared experience: rethinking social connections.
Reihe
Sprache
Verlagsort
Verlagsgruppe
Elsevier Science Publishing Co Inc
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Maße
Höhe: 229 mm
Breite: 152 mm
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ISBN-13
978-0-443-43053-4 (9780443430534)
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Schweitzer Klassifikation
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.
Herausgeber*in
Reihen-Herausgeber
1. Semantic memory: Explorations in ERPs and large language models
Lin Khern Avery Chia and Jon Willits
2. Something cold and full of rum: What neural language models do and don't get about meaning
Seana Coulson
3. Knowledge representation: Mechanisms and perspectives
Will Deng
4. TBD
Barbara Kaup
5. Effects of comprehender knowledge on sentence processing: When, what representations and what processes?
Pia Knoeferle
6. Language related ERP components and their relation to learning and adaptation
Milena Rabovsky
7. TBD
Mike Tanenhaus
8. Representations of meaning
Noortje J. Venhuizen and Harm Brouwer
9. Reliance on language versus world knowledge during comprehension
Tessa Warren and Mike Dickey