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Embodiment and cognitive neuroscience: the forgotten tales

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Abstract

In this paper, I suggest that some tales (or narratives) developed in the literature of embodied and radical embodied cognitive science can contribute to the solution of two longstanding issues in the cognitive neuroscience of perception and action. The two issues are (i) the fundamental problem of perception, or how to bridge the gap between sensations and the environment, and (ii) the fundamental problem of motor control, or how to better characterize the relationship between brain activity and behavior. In both cases, I am going to propose that cognitive neuroscience could incorporate embodied insights—coming from the sensorimotor approach to perception and action, and from ecological psychology—to advance the solution for each issue without the need for abandoning or undergoing a substantial revision of its core assumptions. Namely, cognitive neuroscience could incorporate the forgotten tales of embodiment without undergoing through a complete revolution. In this sense, I am proposing not a call but a farewell to arms.

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Notes

  1. I will focus on vision for the sake of simplicity, but what follows can be applied to any perceptual system.

  2. In the rest of the article, I will use ‘embodiment’ as an umbrella term despite the plurality of notions that refer to the influence of body and environment in cognitive activities—embodied, embedded, situated, enactive, ecological, 3E cognition, 4E cognition, etc. If differences between these notions are relevant at any point, I will make them explicit and will use more concrete wording.

  3. I choose to call them tales, as opposed to theories, hypotheses, or conjectures, for the same reason Stephen Jay Gould defends a narrative approach to evolutionary biology in Wonderful Life (1989): because explanations of complex events sometimes require tools of history (p. 277). Here I convey a story about perception-action events and the role of the brain (along with body and environment) in them founded on some developments of embodied cognitive science. In this sense, I provide a new tale that may work both as a framework and as a source of new theories, hypotheses, and conjectures in cognitive neuroscience. Currie and Sterelny (2017) have provided a similar take on story-telling and scientific explanations.

  4. Further details of this characterization of radical embodiment may be found in Chemero (2009, pp. 28 & ff.) and Gallagher (2017, pp. 26 & ff.).

  5. This does not have to be the case though. Indeed, many of the proposals that can be considered as part of the embodied insurrection attribute an important role to the brain in perception, action, and cognition (see, e.g., Anderson 2014; de Wit et al. 2017; Favela 2014; Kelso et al. 2013; Raja 2018, 2019a, 2020; Raja and Anderson 2019). The role of the brain in these theories is just different from its role as it is understood by mainstream cognitive neuroscience.

  6. Notice that the irreversibility described here is understood as the same notion is understood in mathematics. A function F is irreversible if granting F′ = G, there’s no G’ and, therefore, there’s no way to go back to F from G. For instance, if G are the sensations as a function of environmental events F and the task of the brain is to find a way to bridge the gap from G to F, the fact that G’ is impossible makes the brain face an intractable problem. I follow Frsiton (2002, 2003, 2005) in this characterization.

  7. Examples of different perceptual invariants may be found in Jacobs and Michaels (2007) or Warren (2006), for instance.

  8. The lawfulness of the relation between tau and time-to-contact is founded in the physical properties of ambient light once it bounces off the surfaces of the local environment of the organism. These properties are described by what James Gibson named ecological optics (1960, 1966). A full account of ecological optics is out of the scope of this article, but the interested reader may check Chemero (2009), Michaels and Carello (1981), Segundo-Ortin et al. (2019), Turvey (2019), Warren (1998).

  9. Notice the striking similarity between this claim and Stone’s claim regarding our lack of knowledge regarding visual perception (above). To echo Watson & Crick’s famous motto, it has not escaped my notice that this similarity immediately suggests a possible common root for both issues.

  10. It is worth noting that work on modern robotics and minimal cognitive agents have used similar kind of insights to solve various computational puzzles that were deemed as unsolvable. An example of this is Rodney Brook’s work (1990). I am thankful to an anonymous reviewer for this suggestion.

  11. A simple reading of Gibson’s works on perceptual systems, specially The Senses Considered as Perceptual Systems (1966), shows that he was concerned with the activity of the brain—referred to on many occasions as neural resonance—and that he was disappointed in the lack of knowledge about said neural activity . Gibson claims, for instance: “We do not know much yet about the neural action of resonance at higher centers, but it too may prove to be the reaching of some optimal state of equilibrium. If the neurophysiologists stopped looking for the storehouse of memory perhaps they would find it.” (Gibson 1966, p. 271). In this sense, the somewhat dismissive attitude regarding neuroscience/neurophysiology that is patent in some Gibsonians is not present in Gibson (although maybe it was present in his attitude towards the neurophysiologists of his time).

References

  • Anderson, M. L. (2014). After phrenology: Neural reuse and the interactive brain. Cambridge, MA: MIT Press.

    Book  Google Scholar 

  • Anderson, M. L., & Chemero, A. (2019). The world well gained. In M. Colombo, E. Irvine, & M. Stapleton (Eds.), Andy Clark and his critics (pp. 161–173). Oxofrd, UK: Oxford University Press.

    Chapter  Google Scholar 

  • Anokhin, P. K. (1935). Problem of center and periphery in physiology of nervous activity. Moscow, Russia: Gosizdat.

    Google Scholar 

  • Bagdasarian, K., Szwed, M., Knutsen, P. M., Deutsch, D., Derdikman, D., Pietr, M., Simony, E., & Ahissar, E. (2013). Pre-neuronal morphological processing of object location by individual whiskers. Nature Neuroscience, 16, 622–631.

    Article  Google Scholar 

  • Baggs, E., Raja, V., & Anderson, M. L. (2020). Extended skill learning. Frontiers in Psychology, 11, 1956. https://doi.org/10.3389/fpsyg.2020.01956

  • Bernstein, N. A. (1967). The coordination and regulation of movements. New York: Pergamon Press.

    Google Scholar 

  • Brette, R. (2019). Is coding a relevant metaphor for the brain? Behavioral and Brain Sciences, 42, e215. https://doi.org/10.1017/S0140525X19000049.

    Article  Google Scholar 

  • Brooks, R. A. (1990). Elephants don’t play chess. Robotics and Autonomous Systems, 6, 3–15.

    Article  Google Scholar 

  • Bruineberg, J., & Rietveld, E. (2019). What’s inside your head once you’ve figured out what your head’s inside of. Ecological Psychology, 31(3), 198–217.

    Article  Google Scholar 

  • Burton, G. (1993). Non-neural extensions of haptic sensitivity. Ecological Psychology, 5, 105–124.

    Article  Google Scholar 

  • Cappuccio, M. L. (2019). Handbook of embodied cognition and sport psychology. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Cappuccio, M. L., Miyahara, K., & Ilundain-Agurruza, J. (2020). Wax on, wax off! Habits, sport skills, and motor intentionality. Topoi. https://doi.org/10.1007/s11245-020-09720-3.

  • Carney, D. R., Cuddy, A. J. C., & Yap, A. J. (2010). Power posing: Brief nonverbal displays affect neuroendocrine levels and risk tolerance. Psychological Science, 21(10), 1363–1368.

    Article  Google Scholar 

  • Chemero, A. (2003). An outline of a theory of affordances. Ecological Psychology, 15(2), 181–195.

    Article  Google Scholar 

  • Chemero, A. (2009). Radical embodied cognitive science. Cambridge, MA: The MIT Press.

    Book  Google Scholar 

  • Cisek, P. (2007). Cortical mechanisms of action selection: The affordance competition hypothesis. Philosophical Transactions of the Royal Society B, 362(1485), 1585–1599.

    Article  Google Scholar 

  • Cisek, P., & Kalaska, J. F. (2010). Neural mechanisms for interacting with a world full of action choices. Annual Review of Neuroscience, 33, 269–298.

    Article  Google Scholar 

  • Clark, A. (2015). Surfing uncertainty. London: Oxford University Press.

    Google Scholar 

  • Craig, C. M., & Lee, D. N. (1999). Neonatal control of nutritive sucking pressure: Evidence for an intrinsic tau-guide. Experimental Brain Research, 124, 371–382.

    Article  Google Scholar 

  • Craig, C. M., Delay, D., Grealy, M. A., & Lee, D. N. (2000). Guiding the swing in golf putting. Nature, 405, 295–296.

    Article  Google Scholar 

  • Craig, C. M., Pepping, G.-J., & Grealy, M. A. (2005). Intercepting beats in pre-designated target zones. Experimental Brain Research, 165, 490–504.

    Article  Google Scholar 

  • Currie, A., & Sterelny, K. (2017). In defence of story-telling. Studies in History and Philosophy of Science, 62, 14–21.

    Article  Google Scholar 

  • Dayan, P., & Abbott, L. F. (2001). Theoretical neuroscience: Computational and mathematical modeling of neural systems. Cambridge, MA: The MIT Press.

    Google Scholar 

  • de Vignemont, F. (2011). Embodiment, ownership and disownership. Consciousness and Cognition, 20, 82–93.

    Article  Google Scholar 

  • de Wit, M. M., de Vries, S., van der Kamp, J., & Withagen, R. (2017). Affordances and neuroscience: Steps towards a successful marriage. Neuroscience and Biobehavioral Reviews, 80, 622–629.

    Article  Google Scholar 

  • Dennett, D. I. (1978). Brainstorms: Philosophical essays on mind and psychology. Montgomery, VT: Bradford Books.

    Google Scholar 

  • Der, R., & Martius, G. (2012). The Playful Machine: Theoretical Foundation and Practical Organization of Self-Organizing Robots. Berlin, Germany: Springer-Verlag.

    Book  Google Scholar 

  • Di Paolo, E. A., Buhrmann, T., & Barandiaran, X. E. (2017). Sensorimotor Life: An Enactive Proposal. Oxford, UK: Oxford University Press.

    Book  Google Scholar 

  • Dumas, G., Moreau, Q., Tognoli, E., & Kelso, J. A. S. (2020). The human dynamic clamp reveals the fronto-parietal network linking real-time social coordination and cognition. Cerebral Cortex, 30, 3271–3285.

    Article  Google Scholar 

  • Fajen, B. R., & Warren, W. H. (2003). Behavioral dynamics of steering, obstacle avoidance, and route selection. Journal of Experimental Psychology: Human Perception and Performance, 29, 343–362.

    Google Scholar 

  • Favela, L. H. (2014). Radical embodied cognitive neuroscience: Addressing “grand challenges” of the mind sciences. Frontiers in Human Neuroscience, 8, 796. https://doi.org/10.3389/fnhum.2014.00796.

    Article  Google Scholar 

  • Friston, K. (2002). Functional integration and inference in the brain. Progress in Neurobiology, 68, 113–143.

    Article  Google Scholar 

  • Friston, K. (2003). Learning and inference in the brain. Neural Networks, 16, 1325–1352.

    Article  Google Scholar 

  • Friston, K. (2005). A theory of cortical responses. Philosophical Transactions of the Royal Society B, 360, 815–836.

    Article  Google Scholar 

  • Friston, K. (2010). The free-energy principle: A unified brain theory? Nature Reviews Neuroscience, 11, 127–138.

    Article  Google Scholar 

  • Friston, K., Kilner, J., & Harrison, L. (2006). A free energy principle for the brain. Journal of Physiology, 100, 70–87.

    Google Scholar 

  • Gallagher, S. (2017). Enactivist interventions. Oxford, UK: Oxford University Press.

    Book  Google Scholar 

  • Gibson, J. J. (1960). The concept of stimulus in psychology. American Psychologist, 15(11), 694–703.

    Article  Google Scholar 

  • Gibson, J. J. (1966). The senses considered as perceptual systems. Boston: Houghton Miffin.

    Google Scholar 

  • Gibson, J. J. (1979). The ecological approach to visual perception. Boston: Houghton Miffin.

    Google Scholar 

  • Glenberg, A. M. (2010). Embodiment as a unifying perspective for psychology. Wiley Interdisciplinary Reviews: Cognitive Science, 1(4), 586–596.

  • Goldman, A. I., & de Vignemont, F. (2009). Is social cognition embodied?. Trends in Cognitive Sciences, 13(4), 154–159.

  • Goldman, A. I. (2012). A moderate approach to embodied cognitive science. Review of Philosophy and Psychology, 3(1), 71–88.

  • Goldman, A. I. (2014). The bodily formats approach to embodied cognition. In U. Kriegel (Ed.), Current Controversies in Philosophy of Mind (pp. 91–108). New York: Routledge.

  • Gomez-Marin, A., & Ghazanfar, A. A. (2019). The life of behavior. Neuron, 104, 25–36.

    Article  Google Scholar 

  • Haken, H., Kelso, J. A. S., & Bunz, H. (1985). A theoretical model of phase transitions in human hand movements. Biological Cybernetics, 51, 347–356.

    Article  Google Scholar 

  • Hashemi, A., Pachai, M. V., Bennett, P. J., & Sekuler, A. B. (2019). The role of horizontal facial structure on the N170 and N250. Vision Research, 157, 12–23.

  • Hughes, B. (2018). Psychology in crisis. London: McMillan Publishers.

    Google Scholar 

  • Ince, R. A., Senatore, R., Arabzadeh, E., Montani, F., Diamond, M. E., & Panzeri, S. (2010). Information-theoretic methods for studying population codes. Neural Networks, 23, 713–727.

    Article  Google Scholar 

  • Jacobs, D. M., & Michaels, C. F. (2007). Direct learning. Ecological Psychology, 19(4), 321–349.

    Article  Google Scholar 

  • Japyassú, H. F., & Laland, K. N. (2017). Extended spider cognition. Animal Cognition, 20, 375–395.

    Article  Google Scholar 

  • Kauttonen, J., Hlushchuk, Y., Jääskeläinen, I. P., & Tikkaac, P. (2018). Brain mechanisms underlying cue-based memorizing during free viewing of movie memento. NeuroImage, 172, 313–325.

    Article  Google Scholar 

  • Kelso, J. A. S. (1995). Dynamic patterns. Cambridge, Mass: MIT Press.

    Google Scholar 

  • Kelso, J. A. S., Dumas, G., & Tognoli, E. (2013). Outline of a general theory of behavior and brain coordination. Neural Networks: The Official Journal of the International Neural Network Society, 37, 120–131.

    Article  Google Scholar 

  • Kiverstein, J., & Miller, M. (2015). The embodied brain: Towards a radical embodied cognitive neuroscience. Frontiers in Human Neuroscience, 9, 237. https://doi.org/10.3389/fnhum.2015.00237.

    Article  Google Scholar 

  • Krakauer, J. W., Ghazanfar, A. A., Gomez-Marin, A., MacIver, M. A., & Poeppel, D. (2017). Neuroscience needs behavior: Corrected a reductionist bias. Neuron, 93, 480–490.

    Article  Google Scholar 

  • Lakoff, G., & Johnson, M. (1999). Philosophy in the flesh. New York: Basic Books.

    Google Scholar 

  • Lee, D. N. (2005). Tau in action in development. In J. J. Rieser, J. J. Lockman, & C. A. Nelson (Eds.), Action as an organizer of learning and development (pp. 3–49). Hillsdale: Lawrence Erlbaum Associates.

    Google Scholar 

  • Lee, D. N. (2009). General tau theory: Evolution to date. Perception, 38, 837–858.

    Article  Google Scholar 

  • Lee, D. N., & Reddish, P. E. (1981). Plummeting gannets: A paradigm of ecological optics. Nature, 293, 293–294.

    Article  Google Scholar 

  • Lee, D. N., Lishman, J. R., & Thomson, J. A. (1982). Regulation of gait in long jumping. Journal of Experimental Psychology: Human Perception and Performance, 8, 448–459.

    Google Scholar 

  • Lee, D. N., Young, D. S., Reddish, P. E., Lough, S., & Clayton, T. M. H. (1983). Visual timing in hitting an accelerating ball. Quarterly Journal of Experimental Psychology A, 35, 333–346.

    Article  Google Scholar 

  • Litwin, P., & Miłkowski, M. (2020). Unification by fiat: Arrested development of predictive processing. Cognitive Science., 44, e12867. https://doi.org/10.1111/cogs.12867.

    Article  Google Scholar 

  • Lobo, L., Nordbeck, P. C., Raja, V., Chemero, A., Riley, M., Travieso, D., et al. (2019). Route selection and obstacle avoidance with a short-range haptic sensory substitution device. International Journal of Human–Computer Studies, 132, 25–33.

    Article  Google Scholar 

  • Mace, W. (1977/2017). James J. Gibson's strategy for perceiving: Ask not what's inside your head, but what's your head inside of. In R. Shaw & J. Bransford (Eds.), Perceiving, acting, and knowing: Towards an ecological psychology (pp. 44–65). Hillsdale: Erlbaum.

    Google Scholar 

  • Marr, D. (1982/2010). Vision: A computational investigation into the human representation and processing of visual information. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Marsh, K. L., Richardson, M. J., & Schmidt, R. C. (2009). Social connection through joint action and interpersonal coordination. Topics in Cognitive Science, 1(2), 320–339.

    Article  Google Scholar 

  • Meijer, O. G. (2001). Making things happen: An introduction to the history of movement science. In M. L. Latash & V. M. Zatsiorsky (Eds.), Classics in movement science (pp. 1–57). Champaign: Human Kinetics.

    Google Scholar 

  • Michaels, C., & Carello, C. (1981). Direct perception. Englewood Cliffs: Prentice-Hall.

    Google Scholar 

  • Miller, L. E., Montroni, L., Koun, E., Salemme, R., Hayward, V., & Farnè, A. (2018). Sensing with tools extends somatosensory processing beyond the body. Nature, 561, 239–242.

    Article  Google Scholar 

  • Miller, L. E., Fabio, C., Ravenda, V., Bahmad, S., Koun, E., Salemme, R., Luauté, J., Bolognini, N., Hayward, V., & Farnè, A. (2019). Somatosensory cortex efficiently processes touch located beyond the body. Current Biology, 29, 4276–4283.

    Article  Google Scholar 

  • Nalepka, P., Kallen, R. W., Chemero, A., Saltzman, E., & Richardson, M. J. (2017). Herd those sheep: Emergent multiagent coordination and behavioral-mode switching. Psychological Science, 28(5), 630–650.

    Article  Google Scholar 

  • Nalepka, P., Lamb, M., Kallen, R. W., Shockley, K., Chemero, A., Saltzman, E., & Richardson, M. J. (2019). Human social motor solutions for human–machine interaction in dynamical task contexts. PNAS, 116(4), 1437–1446.

    Article  Google Scholar 

  • Newell, K. M., Liu, Y.-T., & Mayer-Kress, G. (2001). Time scales in motor learning and development. Psychological Review, 108(1), 57–82.

    Article  Google Scholar 

  • Newell, K., Liu, Y.-T., & Mayer-Kress, G. (2008). Landscapes beyond the HKB model. In A. Fuchs & V. K. Jirsa (Eds.), Coordination: Neural, behavioral and social dynamics (pp. 27–44). Berlin: Springer.

    Chapter  Google Scholar 

  • O’Regan, J. K., & Noë, A. (2001). A sensorimotor account of vision and visual consciousness. Behavioral and Brain Sciences, 24, 939–1031.

    Article  Google Scholar 

  • Pezzulo, G., & Cisek, P. (2016). Navigating the affordance landscape: Feedback control as a process model of behavior and cognition. Trends in Cognitive Sciences, 20(6), 414–424.

    Article  Google Scholar 

  • Pillai, A. S., & Jirsa, V. K. (2017). Symmetry breaking in space-time hierarchies shapes brain dynamics and behavior. Neuron, 94, 1010–1026.

    Article  Google Scholar 

  • Port, R. (2003). Meter and speech. Journal of Phonetics, 31, 599–611.

    Article  Google Scholar 

  • Prinz, J. J. (2005). The return of concept empiricism. In H. Cohen & C. Lefebvre (Eds.), Handbook of categorization in cognitive science (pp. 679–699). Amsterdam, Netherlands: Elsevier.

  • Prinz, J. (2002). Furnishing the mind: Concepts and their perceptual basis. Cambridge, MA: MIT Press.

  • Raja, V. (2018). A theory of resonance: Towards an ecological cognitive architecture. Minds and Machines, 28(1), 29–51.

    Article  Google Scholar 

  • Raja, V. (2019a). From metaphor to theory: The role of resonance in perceptual learning. Adaptive Behavior, 27(6), 405–421.

    Article  Google Scholar 

  • Raja, V. (2019b). J. J. Gibson’s most radical idea: The development of a new law-based psychology. Theory & Psychology, 29(6), 789–806.

    Article  Google Scholar 

  • Raja, V. (2020). Resonance and radical embodiment. Synthese. https://doi.org/10.1007/s11229-020-02610-6.

  • Raja, V., & Anderson, M. L. (2019). Radical embodied cognitive neuroscience. Ecological Psychology, 31(2), 166–181.

    Article  Google Scholar 

  • Ramson, M., Fazelpour, S., Markovic, J., Kryklywy, J., Thompson, E., & Todd, R. M. (2020). Affect-biased attention and predictive processing. Cognition, 203, 104370. https://doi.org/10.1016/j.cognition.2020.104370.

    Article  Google Scholar 

  • Ramstead, M. J. D., Veissière, S. P. L., & Kirmayer, L. J. (2016). Cultural affordances: Scaffolding local worlds through shared intentionality and regimes of attention. Frontiers in Psychology, 7, 1090. https://doi.org/10.3389/fpsyg.2016.01090.

    Article  Google Scholar 

  • Rieke, F., Bodnar, D. A., & Bialek, W. (1995). Naturalistic stimuli increase the rate and efficiency of information transmission by primary auditory afferents. Proceedings of the Royal Society B, 262, 259–265.

    Article  Google Scholar 

  • Sayood, K. (2018). Information theory and cognition: A review. Entropy, 20, 706. https://doi.org/10.3390/e20090706.

    Article  Google Scholar 

  • Schettler, A., Raja, V., & Anderson, M. L. (2019). The embodiment of objects: Review, analysis, and future directions. Frontiers in Neuroscience, 13, 1332. https://doi.org/10.3389/fnins.2019.01332.

    Article  Google Scholar 

  • Schmidt, R., & Richardson, M. (2008). Dynamics of interpersonal coordination. In A. Fuchs & V. K. Jirsa (Eds.), Coordination: Neural, behavioral, and social dynamics (pp. 282–308). Berlin: Springer.

    Google Scholar 

  • Schneider, K., Zernicke, R. F., Schmidt, R. A., & Hart, T. J. (1989). Changes in limb dynamics during the practice of rapid arm movements. Journal of Biomechanics, 22(8–9), 805–817.

    Article  Google Scholar 

  • Schögler, B., Pepping, G.-J., & Lee, D. N. (2008). TauG-guidance of transients in expressive musical performance. Experimental Brain Research, 198, 361–372.

    Article  Google Scholar 

  • Scholz, J. P., Schöner, G., & Latash, M. L. (2000). Identifying the control structure of multijoint coordination during pistol shooting. Experimental Brain Research, 135, 382–404.

    Article  Google Scholar 

  • Segundo-Ortín, M., Heras-Escribano, M., & Raja, V. (2019). Ecological psychology is radical enough: A reply to radical enactivists. Philosophical Psychology, 32(7), 1001–1023.

    Article  Google Scholar 

  • Sonkusare, S., Breakspear, M., & Guo, C. (2019). Naturalistic stimuli in neuroscience: Critically acclaimed. Trends in Cognitive Sciences, 23(8), 699–714.

    Article  Google Scholar 

  • Stone, J. V. (2012). Vision and brain: How we perceive the world. Cambridge, MA: The MIT Press.

    Google Scholar 

  • Sun, H., & Frost, B. J. (1998). Computation of different optical variables of looming objects in pigeon nucleus rotundus neurons. Nature Neuroscience, 1(4), 296–303.

    Article  Google Scholar 

  • Thelen, E., & Smith, L. B. (1994). A dynamic systems approach to the development of cognition and action. Cambridge, MA: MIT Press.

    Google Scholar 

  • Tuller, B., Fitch, H. L., & Turvey, M. T. (1982). The Bernstein perspective: II. The concept of muscle linkage or coordinative structure. In J. A. S. Kelso (Ed.), Understanding human motor control (pp. 253–270). Champaign: Human Kinetics.

    Google Scholar 

  • Turvey, M. T. (2019). Lectures on perception: An ecological perspective. New York: Routledge.

    Google Scholar 

  • Turvey, M. T., Shaw, R., Reed, E. S., & Mace, W. (1981). Ecological Laws for perceiving and acting: A reply to Fodor and Pylyshyn. Cognition, 10, 237–304.

    Article  Google Scholar 

  • Valyear, K. F., Culham, J. C., Sharif, N., Westwood, D., & Goodale, M. A. (2006). A double dissociation between sensitivity to changes in object identity and object orientation in the ventral and dorsal visual streams: A human fMRI study. Neuropsychologia, 44, 218–228.

    Article  Google Scholar 

  • Valyear, K. F., Gallivan, J. P., McLean, A. D., & Culham, J. C. (2012). fMRI repetition suppression for familiar but not arbitrary actions with tools. Journal of Neuroscience, 32, 4247–4259.

    Article  Google Scholar 

  • van der Weel, F. R., & van der Meer, A. L. H. (2009). Seeing it coming: infants’ brain responses to looming danger. Naturwissenschaften, 96(12), 1385–1391.

  • van der Weel, F. R., Agyei, S. B., & van der Meer, A. L. H. (2019). Infants’ brain responses to looming danger: Degeneracy of neural connectivity patterns. Ecological Psychology, 31(3), 182–197.

  • van Dijk, J., Kerkhofs, R., van Rooij, I., & Haselager, P. (2008). Can there be such a thing as embodied embedded cognitive neuroscience? Theory & Psychology, 18(3), 297–316.

    Article  Google Scholar 

  • van Gelder, T. (1998). The dynamical hypothesis in cognitive science. Behavioral and Brain Sciences, 21(5), 615–628.

  • Varela, F., Thompson, E., & Rosch, E. (1991). The embodied mind: Cognitive science and human experience. Cambridge, MA: MIT Press.

    Book  Google Scholar 

  • Walmsley, J. (2008). Explanation in dynamical cognitive science. Minds and Machines, 18(3), 331–348.

  • Warren, W. H. (1998). Visually controlled locomotion: 40 years later. Ecological Psychology, 10(3–4), 177–219.

    Article  Google Scholar 

  • Warren, W. H. (2006). The dynamics of perception and action. Psychological Review, 113(2), 358–389.

    Article  Google Scholar 

  • Wen, Z., Yu, T., Yang, X., & Li, Y. (2019). Goal-directed processing of naturalistic stimuli modulates large-scale functional connectivity. Frontiers in Neuroscience, 12, 1003. https://doi.org/10.3389/fnins.2018.01003.

    Article  Google Scholar 

  • Williams, L. E., & Bargh, J. A. (2008). Experiencing physical warmth promotes interpersonal warmth. Science, 322(5901), 606–607.

    Article  Google Scholar 

  • Zhong, C.-B., & Liljenquist, K. (2006). Washing away your sins: Threatened morality and physical cleansing. Science, 313(5792), 1451–1452.

    Article  Google Scholar 

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Acknowledgements

I am deeply grateful to Robyn Wilford for her suggestions and her help proofreading the paper. I’m also thankful to the members of The EMRG Lab and the audience of the International Conference on Perception and Action (ICPA 2020; Groningen, Netherlands) for their helpful comments and suggestions at different stages of the development of this work.

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Raja, V. Embodiment and cognitive neuroscience: the forgotten tales. Phenom Cogn Sci 21, 603–623 (2022). https://doi.org/10.1007/s11097-020-09711-0

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