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Cerebellar granule cells encode the expectation of reward

Overview of attention for article published in Nature, March 2017
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  • In the top 5% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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Title
Cerebellar granule cells encode the expectation of reward
Published in
Nature, March 2017
DOI 10.1038/nature21726
Pubmed ID
Authors

Mark J. Wagner, Tony Hyun Kim, Joan Savall, Mark J. Schnitzer, Liqun Luo

Abstract

The human brain contains approximately 60 billion cerebellar granule cells, which outnumber all other brain neurons combined. Classical theories posit that a large, diverse population of granule cells allows for highly detailed representations of sensorimotor context, enabling downstream Purkinje cells to sense fine contextual changes. Although evidence suggests a role for the cerebellum in cognition, granule cells are known to encode only sensory and motor context. Here, using two-photon calcium imaging in behaving mice, we show that granule cells convey information about the expectation of reward. Mice initiated voluntary forelimb movements for delayed sugar-water reward. Some granule cells responded preferentially to reward or reward omission, whereas others selectively encoded reward anticipation. Reward responses were not restricted to forelimb movement, as a Pavlovian task evoked similar responses. Compared to predictable rewards, unexpected rewards elicited markedly different granule cell activity despite identical stimuli and licking responses. In both tasks, reward signals were widespread throughout multiple cerebellar lobules. Tracking the same granule cells over several days of learning revealed that cells with reward-anticipating responses emerged from those that responded at the start of learning to reward delivery, whereas reward-omission responses grew stronger as learning progressed. The discovery of predictive, non-sensorimotor encoding in granule cells is a major departure from the current understanding of these neurons and markedly enriches the contextual information available to postsynaptic Purkinje cells, with important implications for cognitive processing in the cerebellum.

X Demographics

X Demographics

The data shown below were collected from the profiles of 229 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 836 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 9 1%
United Kingdom 4 <1%
France 2 <1%
Germany 2 <1%
Japan 2 <1%
Turkey 1 <1%
India 1 <1%
Israel 1 <1%
Netherlands 1 <1%
Other 4 <1%
Unknown 809 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 209 25%
Researcher 165 20%
Student > Master 90 11%
Student > Bachelor 65 8%
Student > Doctoral Student 51 6%
Other 134 16%
Unknown 122 15%
Readers by discipline Count As %
Neuroscience 314 38%
Agricultural and Biological Sciences 152 18%
Psychology 63 8%
Medicine and Dentistry 44 5%
Biochemistry, Genetics and Molecular Biology 36 4%
Other 81 10%
Unknown 146 17%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 355. 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 24 November 2022.
All research outputs
#92,338
of 25,713,737 outputs
Outputs from Nature
#6,463
of 98,576 outputs
Outputs of similar age
#2,200
of 324,274 outputs
Outputs of similar age from Nature
#149
of 882 outputs
Altmetric has tracked 25,713,737 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 98,576 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 102.6. This one has done particularly well, scoring higher than 93% 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 324,274 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 99% of its contemporaries.
We're also able to compare this research output to 882 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.