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What can neurons do for their brain? Communicate selectivity with bursts

Overview of attention for article published in Theory in Biosciences, September 2012
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (68th percentile)

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1 X user
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3 Google+ users

Citations

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65 Mendeley
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3 CiteULike
Title
What can neurons do for their brain? Communicate selectivity with bursts
Published in
Theory in Biosciences, September 2012
DOI 10.1007/s12064-012-0165-0
Pubmed ID
Authors

David Balduzzi, Giulio Tononi

Abstract

Neurons deep in cortex interact with the environment extremely indirectly; the spikes they receive and produce are pre- and post-processed by millions of other neurons. This paper proposes two information-theoretic constraints guiding the production of spikes, that help ensure bursting activity deep in cortex relates meaningfully to events in the environment. First, neurons should emphasize selective responses with bursts. Second, neurons should propagate selective inputs by burst-firing in response to them. We show the constraints are necessary for bursts to dominate information-transfer within cortex, thereby providing a substrate allowing neurons to distribute credit amongst themselves. Finally, since synaptic plasticity degrades the ability of neurons to burst selectively, we argue that homeostatic regulation of synaptic weights is necessary, and that it is best performed offline during sleep.

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user 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 65 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 6%
United Kingdom 2 3%
France 2 3%
Italy 1 2%
New Zealand 1 2%
Canada 1 2%
Japan 1 2%
Malta 1 2%
Unknown 52 80%

Demographic breakdown

Readers by professional status Count As %
Researcher 16 25%
Student > Ph. D. Student 12 18%
Student > Bachelor 9 14%
Student > Master 9 14%
Professor 4 6%
Other 7 11%
Unknown 8 12%
Readers by discipline Count As %
Agricultural and Biological Sciences 21 32%
Neuroscience 10 15%
Computer Science 7 11%
Medicine and Dentistry 6 9%
Psychology 3 5%
Other 9 14%
Unknown 9 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 04 July 2013.
All research outputs
#6,915,042
of 22,679,690 outputs
Outputs from Theory in Biosciences
#56
of 194 outputs
Outputs of similar age
#50,470
of 169,182 outputs
Outputs of similar age from Theory in Biosciences
#2
of 3 outputs
Altmetric has tracked 22,679,690 research outputs across all sources so far. This one has received more attention than most of these and is in the 68th percentile.
So far Altmetric has tracked 194 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.5. This one has gotten more attention than average, scoring higher than 70% 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 169,182 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 68% of its contemporaries.
We're also able to compare this research output to 3 others from the same source and published within six weeks on either side of this one.