Letter processing automatically recruits a sensory-motor brain network.

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Generalization in anti-causal learning (2018, methodology): “Because we rely on these robust models in anti-causal tasks (Longcamp et al., 2003; James and Gauthier, 2006), we are quick to infer causal relations even when there are none (Pronin et al., 2006; Matute et al., 2015).”
The Importance of Handwriting Experience on the Development of the Literate Brain (2017, result): “…and letter writing (without seeing a letter) was investigated in the same experiment comparing these systems within individuals and showed substantial overlap between letter perception and letter production; the network outlined above was recruited in both cases ( James & Gauthier, 2006; see Fig.”
Human-level concept learning through probabilistic program induction (2015, background): “Lesioning the predicted dynamics by randomizing the stroke order and directions lead to a 71% ID level (20/29 above chance), which was significantly easier to detect than BPL (t(57) = 4.”