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Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method

Overview of attention for article published in Frontiers in Computational Neuroscience, June 2023
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  • Average Attention Score compared to outputs of the same age and source

Mentioned by

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2 X users

Citations

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1 Dimensions

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2 Mendeley
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Title
Information-theoretic analysis of Hierarchical Temporal Memory-Spatial Pooler algorithm with a new upper bound for the standard information bottleneck method
Published in
Frontiers in Computational Neuroscience, June 2023
DOI 10.3389/fncom.2023.1140782
Pubmed ID
Authors

Shiva Sanati, Modjtaba Rouhani, Ghosheh Abed Hodtani

X Demographics

X Demographics

The data shown below were collected from the profiles of 2 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 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Student > Doctoral Student 1 50%
Unknown 1 50%
Readers by discipline Count As %
Neuroscience 1 50%
Unknown 1 50%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 28 June 2023.
All research outputs
#19,676,488
of 25,054,594 outputs
Outputs from Frontiers in Computational Neuroscience
#995
of 1,437 outputs
Outputs of similar age
#255,381
of 369,360 outputs
Outputs of similar age from Frontiers in Computational Neuroscience
#13
of 23 outputs
Altmetric has tracked 25,054,594 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,437 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.9. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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 369,360 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 23 others from the same source and published within six weeks on either side of this one. This one is in the 34th percentile – i.e., 34% of its contemporaries scored the same or lower than it.