Evidence map›Paper›PMID 33852134›Full record

ArticleNeuroinformatics2021

A Measure of Concurrent Neural Firing Activity Based on Mutual Information.

Gorana Mijatovic, Tatjana Loncar-Turukalo, Nebojsa Bozanic, Nina Milosavljevic, Riccardo Storchi, Luca Faes

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Article in Neuroinformatics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

6 authors.

Gorana MijatovicFaculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia. gorana86@uns.ac.rs.ORCID 0000-0002-7409-8130
Tatjana Loncar-TurukaloFaculty of Technical Sciences, University of Novi Sad, Novi Sad, Serbia.
Nebojsa BozanicDepartment of Neurosurgery, Stanford University, Stanford, CA, United States.
Nina MilosavljevicFaculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK.
Riccardo StorchiFaculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PT, UK.
Luca FaesDepartment of Engineering, University of Palermo, Palermo, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Multiple methods have been developed in an attempt to quantify stimulus-induced neural coordination and to understand internal coordination of neuronal responses by examining the synchronization phenomena in neural discharge patterns. In this work we propose a novel approach to estimate the degree of concomitant firing between two neural units, based on a modified form of mutual information (MI) applied to a two-state representation of the firing activity. The binary profile of each single unit unfolds its discharge activity in time by decomposition into the state of neural quiescence/low activity and state of moderate firing/bursting. Then, the MI computed between the two binary streams is normalized by their minimum entropy and is taken as positive or negative depending on the prevalence of identical or opposite concomitant states. The resulting measure, denoted as Concurrent Firing Index based on MI (CFI

Indexed as

Models, NeurologicalNeuronsAction PotentialsComputer SimulationConcurrent activityCorrelationFiring patternsMutual informationNeural synchrony

Identifiers

PMID33852134

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.