Evidence map›Paper›PMID 34539080›Full record

ArticleNeurocomputing2021

Information Capacity of a Stochastically Responding Neuron Assembly.

I Smyrnakis, M Papadopouli, G Pallagina, S Smirnakis

Abstract read
In one paragraph

Article in Neurocomputing, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

I SmyrnakisInstitute of Computer Science, Foundation for Research & Technology-Hellas.
M PapadopouliInstitute of Computer Science, Foundation for Research & Technology-Hellas.
G PallaginaDepartment of Neurology, Brigham and Womens Hospital, Harvard Medical School, Boston MA 02115.
S SmirnakisDepartment of Neurology, Brigham and Womens Hospital, Harvard Medical School, Boston MA 02115.

Funding

Population receptive field analysis in subjects with area V1+ lesions.R01EY024019 · NEI · BRIGHAM AND WOMEN'S HOSPITAL · PI SMIRNAKIS, STELIOS MANOLIS · 2014 to 2017
$1.6M
Rival Networks: Dissecting the Canonical Circuit of Bi-stable Visual PerceptionR21EY031537 · NEI · BRIGHAM AND WOMEN'S HOSPITAL · PI PALAGINA, GANNA · 2020 to 2021
$470k
NEI NIH HHS R01 EY024019NEI NIH HHS R21 EY031537
6 · The paper itself

Abstract

In this work, certain aspects of the structure of the overlapping groups of neurons encoding specific signals are examined. Individual neurons are assumed to respond stochastically to input signal. Identification of a particular signal is assumed to result from the aggregate activity of a group of neurons, which we call information pathway. Conditions for definite response and for non-interference of pathways are derived. These conditions constrain the response properties of individual neurons and the allowed overlap among pathways. Under these constrains, and under the simplifying assumption that all pathways have similar structure, the information capacity of the system is derived. Furthermore, we show that there is a definite advantage in the information capacity if pathway neurons areinterspersed among the neuron assembly.

Identifiers

PMID34539080
PMCPMC8443124

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.