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Lawrence W. Barsalou [24]Lawrence Barsalou [5]
  1. Giovanni Pezzulo, Lawrence W. Barsalou, Angelo Cangelosi, Martin H. Fischer, Ken McRae & Michael Spivey (2013). Computational Grounded Cognition: A New Alliance Between Grounded Cognition and Computational Modeling. Frontiers in Psychology 3:612-612.
    Grounded theories assume that there is no central module for cognition. According to this view, all cognitive phenomena, including those considered the province of amodal cognition such as reasoning, numeric and language processing, are ultimately grounded in (and emerge from) a variety of bodily, affective, perceptual and motor processes. The development and expression of cognition is constrained by the embodiment of cognitive agents and various contextual factors (physical and social) in which they are immersed. The grounded framework has received numerous (...)
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  2. Christine D. Wilson-Mendenhall, Lisa Feldman Barrett & Lawrence W. Barsalou (2013). Situating Emotional Experience. Frontiers in Human Neuroscience 7.
  3. Wendy Hasenkamp & Lawrence W. Barsalou (2012). Effects of Meditation Experience on Functional Connectivity of Distributed Brain Networks. Frontiers in Human Neuroscience 6.
    This study sought to examine the effect of meditation experience on brain networks underlying cognitive actions employed during contemplative practice. In a previous study, we proposed a basic model of naturalistic cognitive fluctuations that occur during the practice of focused attention meditation. This model specifies four intervals in a cognitive cycle: mind wandering, awareness of mind wandering, shifting of attention, and sustained attention. Using subjective input from experienced practitioners during meditation, we identified activity in salience network regions during awareness of (...)
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  4. Lawrence W. Barsalou (2011). Integrating Bayesian Analysis and Mechanistic Theories in Grounded Cognition. Behavioral and Brain Sciences 34 (4):191-192.
    Grounded cognition offers a natural approach for integrating Bayesian accounts of optimality with mechanistic accounts of cognition, the brain, the body, the physical environment, and the social environment. The constructs of simulator and situated conceptualization illustrate how Bayesian priors and likelihoods arise naturally in grounded mechanisms to predict and control situated action.
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  5. Giovanni Pezzulo, Lawrence W. Barsalou, Angelo Cangelosi, Martin H. Fischer, Michael Spivey & Ken McRae (2011). The Mechanics of Embodiment: A Dialog on Embodiment and Computational Modeling. Frontiers in Psychology 2.
    Embodied theories are increasingly challenging traditional views of cognition by arguing that conceptual representations that constitute our knowledge are grounded in sensory and motor experiences, and processed at this sensorimotor level, rather than being represented and processed abstractly in an amodal conceptual system. Given the established empirical foundation, and the relatively underspecified theories to date, many researchers are extremely interested in embodied cognition but are clamouring for more mechanistic implementations. What is needed at this stage is a push toward explicit (...)
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  6. Lawrence W. Barsalou (2010). Grounded Cognition: Past, Present, and Future. Topics in Cognitive Science 2 (4):716-724.
    Thirty years ago, grounded cognition had roots in philosophy, perception, cognitive linguistics, psycholinguistics, cognitive psychology, and cognitive neuropsychology. During the next 20 years, grounded cognition continued developing in these areas, and it also took new forms in robotics, cognitive ecology, cognitive neuroscience, and developmental psychology. In the past 10 years, research on grounded cognition has grown rapidly, especially in cognitive neuroscience, social neuroscience, cognitive psychology, social psychology, and developmental psychology. Currently, grounded cognition appears to be achieving increased acceptance throughout cognitive (...)
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  7. Lawrence W. Barsalou (2010). Introduction to 30th Anniversary Perspectives on Cognitive Science: Past, Present, and Future. Topics in Cognitive Science 2 (3):322-327.
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  8. Lawrence W. Barsalou, Ava Santos, W. Kyle Simmons & Wilson & D. Christine (2008). Language and Simulation in Conceptual Processing. In Manuel de Vega, Arthur Glenberg & Arthur Graesser (eds.), Symbols and Embodiment: Debates on Meaning and Cognition. Oup Oxford.
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  9. Robert J. Glushko, Paul P. Maglio, Teenie Matlock & Lawrence W. Barsalou (2008). Categorization in the Wild. Trends in Cognitive Sciences 12 (4):129-135.
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  10. Saskia Van Dantzig, Diane Pecher, René Zeelenberg & Lawrence W. Barsalou (2008). Perceptual Processing Affects Conceptual Processing. Cognitive Science 32 (3):579-590.
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  11. Phil Agre, Adam Albright, Rick Alterman, Erik Altmann, Jennifer Amsterlaw, William Badecker, Renee Baillargeon, Dale Barr, Justin Barrett & Lawrence Barsalou (2006). Acknowledgment: Guest Reviewers. Cognitive Science 30:1133-1135.
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  12. Paula M. Niedenthal, Lawrence W. Barsalou, François Ric & Silvia Krauth-Gruber (2005). Embodiment in the Acquisition and Use of Emotion Knowledge. In Barr (ed.), Emotion and Consciousness. Guilford Press.
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  13. Lawrence W. Barsalou, W. Kyle Simmons, Aron K. Barbey & Christine D. Wilson (2003). Grounding Conceptual Knowledge in Modality-Specific Systems. Trends in Cognitive Sciences 7 (2):84-91.
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  14. Daniel C. Richardson, Michael J. Spivey, Lawrence W. Barsalou & Ken McRae (2003). Spatial Representations Activated During Real‐Time Comprehension of Verbs. Cognitive Science 27 (5):767-780.
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  15. Jesse J. Prinz & Lawrence W. Barsalou (2000). Steering a Course for Embodied Representation. In Eric Dietrich Art Markman (ed.), Cognitive Dynamics: Conceptual Change in Humans and Machines. Lawrence Erlbaum. 51--77.
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  16. Lawrence W. Barsalou (1999). Perceptions of Perceptual Symbols. Behavioral and Brain Sciences 22 (4):637-660.
    Various defenses of amodal symbol systems are addressed, including amodal symbols in sensory-motor areas, the causal theory of concepts, supramodal concepts, latent semantic analysis, and abstracted amodal symbols. Various aspects of perceptual symbol systems are clarified and developed, including perception, features, simulators, category structure, frames, analogy, introspection, situated action, and development. Particular attention is given to abstract concepts, language, and computational mechanisms.
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  17. Lawrence W. Barsalou (1999). Perceptual Symbol Systems. Behavioral and Brain Sciences 22 (4):577-660.
    Prior to the twentieth century, theories of knowledge were inherently perceptual. Since then, developments in logic, statis- tics, and programming languages have inspired amodal theories that rest on principles fundamentally different from those underlying perception. In addition, perceptual approaches have become widely viewed as untenable because they are assumed to implement record- ing systems, not conceptual systems. A perceptual theory of knowledge is developed here in the context of current cognitive science and neuroscience. During perceptual experience, association areas in the (...)
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  18. Robert L. Goldstone & Lawrence W. Barsalou (1998). Reuniting Perception and Conception. Cognition 65 (2-3):231-262.
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  19. Karen O. Solomon & Lawrence W. Barsalou (1997). Productivity and Propositional Construal as the Meshing of Embodied Representations. Behavioral and Brain Sciences 20 (1):38-39.
    Contrary to prevailing views, productivity and propositional construal are not problematic for perceptual views of representation. Glenberg's embodied representations contribute to our understanding of how these two important processes might be implemented perceptually.
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  20. Wenchi Yeh & Lawrence W. Barsalou (1996). The Role of Situations in Concept Learning. In. In Garrison W. Cottrell (ed.), Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society. Lawrence Erlbaum. 469--474.
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  21. Lawrence W. Barsalou (1993). Flexibility, Structure, and Linguistic Vagary in Concepts: Manifestations of a Compositional System of Perceptual Symbols. In A. Collins, S. Gathercole, Martin A. Conway & P. E. Morris (eds.), Theories of Memory. Lawrence Erlbaum. 1.
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  22. Concepts Frames & Lawrence W. Barsalou (1992). Feature List Representations of Categories. In E. Kittay & A. Lehrer (eds.), Frames, Fields, and Contrasts: New Essays in Semantic and Lexical Organization. Erlbaum. 21.
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  23. Lawrence W. Barsalou (1990). Access and Inference in Categorization. Bulletin of the Psychonomic Society 28 (3):268-271.
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  24. Lawrence W. Barsalou (1986). Are There Static Category Representations in Long-Term Memory? Behavioral and Brain Sciences 9 (4):651.
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  25. Lawrence W. Barsalou & Gordon H. Bower (1984). Discrimination Nets as Psychological Models. Cognitive Science 8 (1):1-26.
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