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  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. Stephanie Huette & Michael Spivey (2012). Fuzzy Consciousness. In Shimon Edelman, Tomer Fekete & Neta Zach (eds.), Being in Time: Dynamical Models of Phenomenal Experience. John Benjamins Pub. Co.. 88--149.
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  3. 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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  4. Daniel C. Richardson, Gerry T. M. Altmann, Michael J. Spivey & Merrit A. Hoover (2009). Much Ado About Eye Movements to Nothing: A Response to Ferreira Et Al.: Taking a New Look at Looking at Nothing. Trends in Cognitive Sciences 13 (6):235-236.
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  5. Michael Spivey & Daniel Richardson (2009). Language Processing Embodied and Embedded. In Murat Aydede & P. Robbins (eds.), The Cambridge Handbook of Situated Cognition. Cambridge. 382--400.
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  6. Michael Spivey, Daniel Richardson & Rick Dale (2009). The Movement of Eye and Hand as a Window Into Language and Cognition. In Ezequiel Morsella, John A. Bargh & Peter M. Gollwitzer (eds.), Oxford Handbook of Human Action. Oxford University Press. 225--249.
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  7. Sarah Anderson, Teenie Matlock, Caitlin Fausey & Michael J. Spivey (2008). On the Path to Understanding on-Line Processing of Grammatical Aspect. In B. C. Love, K. McRae & V. M. Sloutsky (eds.), Proceedings of the 30th Annual Conference of the Cognitive Science Society. Cognitive Science Society.
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  8. Thomas A. Farmer, Sarah A. Cargill, Nicholas C. Hindy, Rick Dale & Michael J. Spivey (2007). Tracking the Continuity of Language Comprehension: Computer Mouse Trajectories Suggest Parallel Syntactic Processing. Cognitive Science 31 (5):889-909.
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  9. Michael Spivey & Sarah Cargill (2007). Toward a Continuity of Consciousness. Journal of Consciousness Studies 14 (1):216-233.
    Real-time cognition is continuous in time and contiguous in mental state space. This temporal continuity implies that the majority of mental life is spent in states that are partially consistent with multiple representations. The state-space contiguity implies that different cognitive processes interact in ways that make them quite non-modular. As the evidence for such information-permeability expands to include not just neural subsystems but also the entire brain and even the entire organism, this radical interactionism leads one to hypothesize that mental (...)
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  10. 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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  11. Michael J. Spivey & Monica Gonzalez-Marquez (2003). Rescuing Generative Linguistics: Too Little, Too Late? Behavioral and Brain Sciences 26 (6):690-691.
    Jackendoff's Foundations of Language: Brain, Meaning, Grammar, Evolution attempts to reconnect generative linguistics to the rest of cognitive science. However, by minimally acknowledging decades of work in cognitive linguistics, treating dynamical systems approaches somewhat dismissively, and clinging to certain fundamental dogma while revising others, he clearly risks satisfying no one by almost pleasing everyone.
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  12. Rick Dale & Michael Spivey (2002). A Linguistic Module for Integrating the Senses, or a House of Cards? Behavioral and Brain Sciences 25 (6):681-682.
    Carruthers invokes a number of controversial assumptions to support his thesis. Most are questionable and unnecessary to investigate the wider relevance of language in cognition. A number of research programs (e.g., interactionist psycholinguistics and cognitive linguistics) have for years pursued a similar thesis and provide a more empirically grounded framework for investigating language’ cognitive functions.
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  13. Daniel C. Richardson & Michael J. Spivey (2001). The TEC as a Theory of Embodied Cognition. Behavioral and Brain Sciences 24 (5):900-901.
    We argue that the strengths of the Theory of Event Coding (TEC) can usefully be applied to a wider scope of cognitive tasks, and tested by more diverse methodologies. When allied with a theory of conceptual representation such as Barsalou's (1999a) perceptual symbol systems, and extended to data from eye-movement studies, the TEC has the potential to address the larger goals of an embodied view of cognition.
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  14. Daniel Richardson & Michael Spivey (2000). Representation, Space and Hollywood Squares: Looking at Things That Aren't There Anymore. Cognition 76 (3):269-295.
  15. Michael Spivey, Mark Andrews & Daniel Richardson (1999). On Computational and Behavioral Evidence Regarding Hebbian Transcortical Cell Assemblies. Behavioral and Brain Sciences 22 (2):302-302.
    Pulvermüller restricts himself to an unnecessarily narrow range of evidence to support his claims. Evidence from neural modeling and behavioral experiments provides further support for an account of words encoded as transcortical cell assemblies. A cognitive neuroscience of language must include a range of methodologies (e.g., neural, computational, and behavioral) and will need to focus on the on-line processes of real-time language processing in more natural contexts.
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