Handbook of the Cerebellum and Cerebellar Disorders 2013
DOI: 10.1007/978-94-007-1333-8_57
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State Estimation and the Cerebellum

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Cited by 9 publications
(5 citation statements)
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References 26 publications
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“…These results and others point to the role of the cerebellum in adaptive motor learning (Taylor et al, 2010; Bernard & Seidler, 2013, Hardwick et al, 2013), supporting the view that it acts as a forward model (Wolpert et al, 1998; Hardwick et al, 2012; Schlerf et al, 2012). Increasing cerebellar excitability with anodal tDCS may have enhanced the spatial realignment process, compensating for deficits in strategic control and leading to faster reduction of movement errors.…”
Section: Discussionsupporting
confidence: 74%
“…These results and others point to the role of the cerebellum in adaptive motor learning (Taylor et al, 2010; Bernard & Seidler, 2013, Hardwick et al, 2013), supporting the view that it acts as a forward model (Wolpert et al, 1998; Hardwick et al, 2012; Schlerf et al, 2012). Increasing cerebellar excitability with anodal tDCS may have enhanced the spatial realignment process, compensating for deficits in strategic control and leading to faster reduction of movement errors.…”
Section: Discussionsupporting
confidence: 74%
“…The prominent 'threshold theory' of mirror-touch synesthesia (a condition in which observing another person being touched evokes the sensation of being touched) proposes that somatosensory mirror activity occurs in all individuals, only becoming mirror-touch synesthesia once it passes the threshold for active perception (Ward and Banissy, 2015). In movement execution, sensory information provides critical feedback for the accuracy of movements, allowing comparison of the actual and predicted sensory consequences of actions (Hardwick et al, 2012;Muckli and Petro, 2017). This finding is also consistent with models proposing that motor imagery, and potentially action observation, lead to sensory efference in a similar manner as movement execution (Crammond, 1997).…”
Section: Somatosensory Cortexmentioning
confidence: 99%
“…This is analogous to the algorithmic level of analysis that David Marr proposed 40 years ago [122]. There are still multiple alternative answers, ranging from a timing device, or associative learning network, to my preferred hypothesis, as a short-term predictor—specifically that the cerebellum contributes a state estimation towards forward modelling, predicting the causal chain from motor commands to changes in state of the modelled system [123]. We have recent evidence that the same may hold true for prediction in language processing [124].…”
Section: A Systems-level View Of Cerebellar Motor and Cognitive Functmentioning
confidence: 99%