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Philosophy of the Spike: Rate-Based vs. Spike-Based Theories of the Brain

Overview of attention for article published in Frontiers in Systems Neuroscience, November 2015
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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 (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (86th percentile)

Mentioned by

blogs
1 blog
twitter
35 X users

Readers on

mendeley
563 Mendeley
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1 CiteULike
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Title
Philosophy of the Spike: Rate-Based vs. Spike-Based Theories of the Brain
Published in
Frontiers in Systems Neuroscience, November 2015
DOI 10.3389/fnsys.2015.00151
Pubmed ID
Authors

Romain Brette

Abstract

Does the brain use a firing rate code or a spike timing code? Considering this controversial question from an epistemological perspective, I argue that progress has been hampered by its problematic phrasing. It takes the perspective of an external observer looking at whether those two observables vary with stimuli, and thereby misses the relevant question: which one has a causal role in neural activity? When rephrased in a more meaningful way, the rate-based view appears as an ad hoc methodological postulate, one that is practical but with virtually no empirical or theoretical support.

X Demographics

X Demographics

The data shown below were collected from the profiles of 35 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 563 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 8 1%
United States 5 <1%
France 4 <1%
United Kingdom 4 <1%
Spain 2 <1%
Australia 1 <1%
India 1 <1%
Austria 1 <1%
Puerto Rico 1 <1%
Other 3 <1%
Unknown 533 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 176 31%
Researcher 101 18%
Student > Master 83 15%
Student > Bachelor 45 8%
Student > Doctoral Student 28 5%
Other 61 11%
Unknown 69 12%
Readers by discipline Count As %
Neuroscience 182 32%
Engineering 80 14%
Agricultural and Biological Sciences 63 11%
Computer Science 58 10%
Physics and Astronomy 25 4%
Other 74 13%
Unknown 81 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 28. 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 03 March 2022.
All research outputs
#1,416,689
of 25,711,518 outputs
Outputs from Frontiers in Systems Neuroscience
#98
of 1,410 outputs
Outputs of similar age
#20,372
of 295,135 outputs
Outputs of similar age from Frontiers in Systems Neuroscience
#6
of 45 outputs
Altmetric has tracked 25,711,518 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 94th percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 1,410 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 11.1. 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 295,135 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 93% of its contemporaries.
We're also able to compare this research output to 45 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 86% of its contemporaries.