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Seeking a unified framework for cerebellar function and dysfunction: from circuit operations to cognition

Overview of attention for article published in Frontiers in Neural Circuits, January 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (90th percentile)
  • High Attention Score compared to outputs of the same age and source (92nd percentile)

Mentioned by

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19 X users
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1 Facebook page
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1 Google+ user
reddit
1 Redditor

Citations

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343 Dimensions

Readers on

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436 Mendeley
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2 CiteULike
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Title
Seeking a unified framework for cerebellar function and dysfunction: from circuit operations to cognition
Published in
Frontiers in Neural Circuits, January 2013
DOI 10.3389/fncir.2012.00116
Pubmed ID
Authors

Egidio D'Angelo, Stefano Casali

Abstract

Following the fundamental recognition of its involvement in sensory-motor coordination and learning, the cerebellum is now also believed to take part in the processing of cognition and emotion. This hypothesis is recurrent in numerous papers reporting anatomical and functional observations, and it requires an explanation. We argue that a similar circuit structure in all cerebellar areas may carry out various operations using a common computational scheme. On the basis of a broad review of anatomical data, it is conceivable that the different roles of the cerebellum lie in the specific connectivity of the cerebellar modules, with motor, cognitive, and emotional functions (at least partially) segregated into different cerebro-cerebellar loops. We here develop a conceptual and operational framework based on multiple interconnected levels (a meta-levels hypothesis): from cellular/molecular to network mechanisms leading to generation of computational primitives, thence to high-level cognitive/emotional processing, and finally to the sphere of mental function and dysfunction. The main concept explored is that of intimate interplay between timing and learning (reminiscent of the "timing and learning machine" capabilities long attributed to the cerebellum), which reverberates from cellular to circuit mechanisms. Subsequently, integration within large-scale brain loops could generate the disparate cognitive/emotional and mental functions in which the cerebellum has been implicated. We propose, therefore, that the cerebellum operates as a general-purpose co-processor, whose effects depend on the specific brain centers to which individual modules are connected. Abnormal functioning in these loops could eventually contribute to the pathogenesis of major brain pathologies including not just ataxia but also dyslexia, autism, schizophrenia, and depression.

X Demographics

X Demographics

The data shown below were collected from the profiles of 19 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 436 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 5 1%
France 5 1%
Netherlands 4 <1%
Belgium 2 <1%
Italy 2 <1%
United States 2 <1%
Brazil 1 <1%
Sweden 1 <1%
United Kingdom 1 <1%
Other 3 <1%
Unknown 410 94%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 89 20%
Researcher 78 18%
Student > Master 52 12%
Student > Bachelor 36 8%
Student > Postgraduate 22 5%
Other 74 17%
Unknown 85 19%
Readers by discipline Count As %
Neuroscience 94 22%
Agricultural and Biological Sciences 66 15%
Psychology 56 13%
Medicine and Dentistry 47 11%
Computer Science 14 3%
Other 58 13%
Unknown 101 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 March 2022.
All research outputs
#2,987,181
of 25,389,116 outputs
Outputs from Frontiers in Neural Circuits
#147
of 1,300 outputs
Outputs of similar age
#28,447
of 287,236 outputs
Outputs of similar age from Frontiers in Neural Circuits
#13
of 170 outputs
Altmetric has tracked 25,389,116 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,300 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.7. This one has done well, scoring higher than 88% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 287,236 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 90% of its contemporaries.
We're also able to compare this research output to 170 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 92% of its contemporaries.