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Binkofski, F., G. Buccino, et al. (1999). A fronto-parietal circuit for object manipulation in man: evidence from an fMRI-study. European Journal of Neuroscience 11, 3276–3286.

Bundesen, C. & A. Larsen (1975). Visual transformation of size. Human Perception and Performance 1, 214–220.

Bundesen, C., A. Larsen, et al. (1983). Visual apparent movement: transformations of size and orientation. Perception 12, 549–558.

Buxbaum, L. J. & E. M. Saffran (2002). Knowledge of object manipulation and object function: dissociations in apraxic and nonapraxic subjects. Brain and Language 82, 179 – 199.

Byrne, R. W. (1995). The thinking ape. Oxford: Oxford University Press.

Chalmers, D. J. (1996). The conscious mind. Oxford: Oxford University Press.

Chao, L. L. & A. Martin (2000). Representation of manipulable man-made objects in the dorsal stream. NeuroImage 12, 478–484.

Churchland, P. (1986). Neurophilosophy. Toward a unified science of the mind-brain. MIT Press.

Collins, H. (2004). Interactional expertise as a third kind of knowledge. Phenomenology and the Cognitive Sciences 3, 125–143.

Collins, H. M. (2000). Four kinds of knowledge, two (or maybe three) kinds of embodiment, and the question of artificial intelligence. Heidegger, Coping, and Cognitive Science: Essays in Honor of Hubert L. Dreyfus. J. Malpas & M. A. Wrathall. Cambridge (Eds.), MIT Press. 2: 179–195.

Collins, H. & Evans, R. (2007). Rethinking Expertise. Chicago: University of Chicago Press.

Collins, H. M., Evans, R., Ribeiro, R. & Hall, M. (2006). Experiments with Interactional Expertise. Studies in History and Philosophy of Science 37 A(4): 656–74.

Dreyfus, H. & S. Dreyfus (1986). Mind over machine. New York: Free Press.

Gainotti, G. (2002). The relationships between anatomical and cognitive locus of lesion in category-specific disorders. Category specificity in brain and mind. G.W.Humphreys & E. M. E. Forde. Hove: Psychology Press: 403–426.

Ganis, G., J. P. Keenan, et al. (2000). Transcranial magnetic stimulation of primary motor cortex affects mental rotation. Cerebral Cortex 10: 175–180.

Gerlach, C., I. Law, et al. (2004). Structural similarity and category-specificity: a refined account. Neuropsychologia 42: 1543–1553.

Gerlach, G., I. Law, et al. (2000). Categorization and category effects in normal object recognition: A PET study. Brain 122: 2159–2170.

Gerlach, G., I. Law, et al. (2002b). The role of action knowledge in the comprehension of artefacts–A PET study. Neuroimage 7: 232–243.

Gerlach, G., I. Law, et al. (2002a). When action turns into words. Activation of motor-based knowledge during categorization of manipulable objects. Journal of Cognitive Neuroscience 14(8): 1230–1239.

Grabowski, T. J., H. Damasio, et al. (1998). Premotor and prefrontal correlates of category-related lexical retrieval. NeuroImage 7: 232–243.

Grafton, S. T., L. Fadiga, et al. (1997). Premotor cortex activation during observation and naming of familiar tools. Neuroimage 6: 231–236.

Grau, J. W. (2002). Learning and memory without a brain. The cognitive animal. empirical and theoretical perspectives on animal cognition. M. Bekoff, C. Allen & G. M. Burghardt (Eds.). Cambridge: MIT Press: 77–87.

Humphreys, G. W. & E. M. E. Forde (2001). Hierarchies, similarity, and interactivity in object recognition: “category-specific” neuropsychological deficit. Behavioral and Brain Sciences 24: 453–476.

Lakoff, G. (1987). Women, fire, and dangerous things: What categories reveal about the mind. Chicago: The University of Chicago Press.

Larsen, A., C. Bundesen, et al. (2000). Brain activation during mental transformation of size. Journal of Cognitive Neuroscience 12: 763–774.

Mahon, B. Z. & A. Caramazza (2003). Constraining questions about the organisation and representation of conceptual knowledge. Cognitive Neuropsychology 20, 433–450.

Martin, A., C. L. Wiggs, et al. (1996). Neural correlates of category-specific knowledge. Nature 379: 649–652.

Milner, A. D. & M. A. Goodale (1995). The visual brain in action. Oxford: Oxford University Press.

Murata, A., L. Fadiga, et al. (1997). Object representation in the ventral premotor cortex (area F5) of the monkey. Journal of Neurophysiology 78: 2226–2230.

Pellizzer, G. & A. P. Georgopoulos (1993). Common processing constraints for visuomotor and visual mental rotations. Experimental Brain Research 93: 165–172.

Price, C. J., C. J. Mummery, et al. (1999). Delineating necessary and sufficient neural systems with functional imaging studies of neuropsychological patients. Journal of Cognitive Neuroscience 11: 371–382.

Richter, W., R. Somorjai, et al. (2000). Motor area activity during mental rotation studied by time- resolved single-trial fMRI. Journal of Cognitive Neuroscience 12: 310–320.

Rizzolatti, G. & M. A. Arbib (1998). Language within our grasp. Trends in Neuroscience 21(5), 188–194.

Rizzolatti, G. & L. Fadiga (1998). Grasping objects and grasping action meanings: the dual role of monkey rostroventral premotor cortex (F5). Sensory guidance of movements. N. F. S. 218. Chichster, Wiley: 81–103.

Schilhab, T. S. S. (2007). Knowledge for real – On implicit and explicit representations and education. Scandinavian Journal of Educational Research 51 (3): 223 – 238.

Schilhab, T. (2007). Interactional expertise through the looking glass: a peek at mirror neurons. Studies in History and Philosophy of Science, 38 (4): 741–747.

Sheets-Johnstone, M. (1998). Consciousness: A natural history. Journal of Consciousness Studies 5(3): 260–294.

Sheets-Johnstone, M. (1999). On learning to move oneself: a constructive phenomenology. Working papers; Network for Non-scholastic Learning (4): 1–20.

Shepard, R. N. & J. Metzler (1971). Mental rotation of three-dimensional objects. Science 171: 701–703.

Warrington, E. K. & T. Shallice (1984). Category specific semantic impairments. Brain 107: 829–854.

Wexler, M., S. M. Kosslyn, et al. (1998). Motor processes in mental rotation. Cognition 68: 77–94.

Windischberger, C., C. Lamm, et al. (2003). Human motor cortex activity during mental rotation. NeuroImage 20: 225–232.

Wohlschlager, A. & A. Wohlschlager (1998). Mental and manual rotation. Journal of Experimental Psychology: Human Perception and Performance 24: 397–412.

Wraga, M., W. L. Thompson, et al. (2003). Implicit transfer of motor strategies in mental rotation. Brain and Cognition 52: 135–143.

Zeki, S. (1993). A vision of the brain. Oxford, Blackwell.

1 Thanks to Professor Harry Collins for fruitful discussions on interactional and contributory expertise.

2 Despite extensive use of biking as an archetypical example of implicit cognition, it might invoke erroneous beliefs about implicitness and bodily foundations. We are fully aware of instances of knowledge (implicit or explicit) without overt physical elements of action, but for the sake of clarity refrain from addressing the differences in this chapter. Here, the interest is exclusively on the bodily part of biking and not on putative social aspects.

3 In this context, “body” refers to limbs and other body parts sustaining actual biking.

4 Almost the same scenario as the famous “brain in a vat” composition in which evil neuroscientists are thought to transfer brains to a vat and hook it up to computers overnight.

5 The idea is not that farfetched, as shown by the current promotion in the lifestyle industry of electric muscle stimulators (originally for medical purposes) targeted to stimulate motor nerves to cause a muscle contraction.

6 In Collins (2000), a Vietnam veteran has his brain loaded with the knowledge of a champion tennis player but does not have the constitution to act like one and thus lacks what Collins names “embodied knowledge”.

7 Biological traits have not evolved intentionally. They have come about incrementally to ensure reproductive success.

8 An animal order including lemurs, tarsiers, monkeys, apes and human beings.

9 Reproductive fitness.

10 Innate characteristics are species-specific. Biologically speaking, it means that all members of the species are equally equipped and equally responsive.

11 We have to assume that the amount of time spent thinking about the topic while in the lab is not mistaken for the additional effect of bodily engagement.

12 This is not to say that elderly people have lost the ability to think creatively because of age. Creativity originates from other sources, one of which is, in fact, experience and the resulting breadth of view.

13 The question of what interactional knowledge specifically refers to is very interesting. Is it mainly abstract notions without mental images or are most ideas, however vague, connected to former experiences and previous perceptions?

14 One might speculate that visual size transformations could also rely – in part – on motor areas. This would not be unlikely if subjects imagined moving towards or away from an object, rather than the object moving nearer or farther away from them. To our knowledge, this proposition has not been empirically tested.

Learning Bodies

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