Control of mental activities by internal models in the cerebellum

By Masao Ito. Nature Reviews Neuroscience, 2008

1,267 citations recorded by the source corpus.

Subfields: Cognitive Neuroscience, Neurology, Social Psychology

View Paper: https://www.semanticscholar.org/paper/f7e1e546a96001b8461d2c3237cd725df8aaf35b

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Citations in the corpus

Brain scaling in mammalian evolution as a consequence of concerted and mosaic changes in numbers of neurons and average neuronal cell size (2014, background): “The concerted scaling of numbers of neurons in the cerebral cortex and cerebellum also agree with recent models of brain function that consider that these two structures work in conjunction (Leiner et al., 1989; Ramnani, 2006; Ito, 2008), instead of endorsing a functional preponderance of the cerebr”
Consensus Paper: Towards a Systems-Level View of Cerebellar Function: the Interplay Between Cerebellum, Basal Ganglia, and Cortex (2016, background): “For example, an intriguing hypothesis is that one such corticocerebellar loop might permit the control of internal thought processes, reusing the same internal models and mechanisms that permit the cortico-cerebellar control of overt actions [142].”
The Hierarchical Organisation of Cortical and Basal-Ganglia Systems: A Computationally-Informed Review and Integrated Hypothesis (2013, positive): “Moreover, cerebellum plays important functions not only for motor behaviour but also for cognitive processes (Ito, 2008).”
Consensus Paper: The Cerebellum's Role in Movement and Cognition (2013, methodology): “The uniform structure of the cerebellum and its recurrent connections with multiple cortical areas (including not only the primary motor cortex, but also areas of premotor and prefrontal cortex [116, 207]) suggest that it could play a similar coordination and support role in the anticipatory control”
Distinct and overlapping functional zones in the cerebellum defined by resting state functional connectivity. (2010, background): “…a model in which the cerebellum applies a particular computational function to information from a range of cortical areas, rather than having a functional specialization itself—motor, cognitive, or otherwise (Eccles et al. 1967; Bloedel 1992; Schmahmann and Sherman 1998; Ramnani 2006; Ito 2008).”
Neuroimaging of language control in bilinguals: neural adaptation and reserve (2016, background): “Functional imaging studies using sentence production and comprehension tasks have yet to elucidate these but it is plausible that cerebellar activation mediates the prediction of future input based on past knowledge (Ito, 2008).”
Consensus Paper: Roles of the Cerebellum in Motor Control—The Diversity of Ideas on Cerebellar Involvement in Movement (2011, background): “the cerebellum encoding internal models reproducing the essential properties of mental representations in the cerebral cortex [308].”
Cerebellum and nonmotor function. (2009, background): “Cerebellar processing may help to adaptively modify internal representations so that the desired goals of cognition can be achieved in a skilled, and error-free, manner (Ito 2008).”
Cerebellar networks with the cerebral cortex and basal ganglia. (2013, background): “There is evidence that the cerebellum is involved in these conditions as well (for reviews, see [17, 60, 132, 133]).”
Population-scale organization of cerebellar granule neuron signaling during a visuomotor behavior (2017, background): “5b, we consider for illustration the case in which the desired change in Purkinje cell response is given by the target pattern (ΔAipsi, ΔAcontra) = (2,1).”
The Cerebellum and Cognition: Evidence from Functional Imaging Studies (2011, background): “, [9, 10]) reports suggest that the cerebellum may have a role in human cognition [11]; supporting these data are a multitude of functional imaging studies reporting cerebellar activation during cognitive tasks, including language, working memory, and spatial processing, along with the proposal that”
Supervised Learning in Spiking Neural Networks with ReSuMe: Sequence Learning, Classification, and Spike Shifting (2010, background): “It is likely that supervised learning also contributes to the establishment of networks that support certain cognitive skills, such as pattern recognition or language acquisition, although there is no strong experimental confirmation of the proposition (Knudsen, 1994 ; Thach, 1996 ; Ito, 2000b , ”