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Cerebellar Sequencing: a Trick for Predicting the Future

Overview of attention for article published in The Cerebellum, October 2014
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (73rd percentile)
  • High Attention Score compared to outputs of the same age and source (80th percentile)

Mentioned by

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3 X users
facebook
1 Facebook page
wikipedia
3 Wikipedia pages

Citations

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158 Dimensions

Readers on

mendeley
204 Mendeley
Title
Cerebellar Sequencing: a Trick for Predicting the Future
Published in
The Cerebellum, October 2014
DOI 10.1007/s12311-014-0616-x
Pubmed ID
Authors

M. Leggio, M. Molinari

Abstract

"Looking into the future" well depicts one of the most significant concepts in cognitive neuroscience: the brain is constantly predicting future events. Such directedness toward the future has been recognized to be relevant to and beneficial for many aspects of information processing in humans, such as perception, motor and cognitive control, decision-making, theory of mind, and other cognitive processes. Because one of the most adaptive characteristics of the brain is to correct errors, the ability to look into the future represents the best chance to avoid repeating errors. Within the structures that constitute the "predictive brain," the cerebellum has been proposed to have a central function, based on its ability to generate internal models. We suggested that "sequence detection" is the operational mode of the cerebellum in predictive processing. According to this hypothesis, the cerebellum detects and simulates repetitive patterns of temporally or spatially structured events and generates internal models that can be used to make predictions. Consequently, we demonstrate that the cerebellum recognizes serial events as a sequence, detects a sequence violation, and successfully reconstructs the correct sequence of events. Thus, we hypothesize that pattern detection and prediction and processing of anticipation are cerebellum-specific functions within the brain and that the sequence detection hypothesis links the multifarious impairments that are reported in patients with cerebellar damage. We propose that this cerebellar operational mode can advance our understanding of the pathophysiological mechanisms in various clinical conditions, such as schizophrenia and autism.

X Demographics

X Demographics

The data shown below were collected from the profiles of 3 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 204 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 201 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 44 22%
Researcher 29 14%
Student > Master 22 11%
Student > Bachelor 16 8%
Professor 12 6%
Other 37 18%
Unknown 44 22%
Readers by discipline Count As %
Psychology 57 28%
Neuroscience 39 19%
Medicine and Dentistry 17 8%
Agricultural and Biological Sciences 8 4%
Linguistics 3 1%
Other 23 11%
Unknown 57 28%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 5. 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 17 February 2021.
All research outputs
#6,570,497
of 23,975,976 outputs
Outputs from The Cerebellum
#154
of 957 outputs
Outputs of similar age
#68,733
of 263,424 outputs
Outputs of similar age from The Cerebellum
#5
of 26 outputs
Altmetric has tracked 23,975,976 research outputs across all sources so far. This one has received more attention than most of these and is in the 72nd percentile.
So far Altmetric has tracked 957 research outputs from this source. They receive a mean Attention Score of 3.2. This one has done well, scoring higher than 83% 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 263,424 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 73% of its contemporaries.
We're also able to compare this research output to 26 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.