Evidence map›Paper›PMID 34697340›Full record

ArticleScientific reports2021

Spatial representability of neuronal activity.

D Akhtiamov, A G Cohn, Y Dabaghian

Abstract read
In one paragraph

Article in Scientific reports, 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. Spaces and sequences in the hippocampus: a homological perspective.Journal of computational neuroscience · 2026
    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

3 authors.

D AkhtiamovEinstein institute of Mathematics, The Hebrew University, Jerusalem, 9190401, Israel.
A G CohnSchool of Computing, University of Leeds, Woodhouse Lane, Leeds, LS9 2JT, UK.
Y DabaghianDepartment of Neurology, The University of Texas McGovern Medical School, 6431 Fannin St, Houston, TX, 77030, USA. yuri.a.dabaghian@uth.tmc.edu.

Funding

European Research Council 692854
6 · The paper itself

Abstract

A common approach to interpreting spiking activity is based on identifying the firing fields-regions in physical or configuration spaces that elicit responses of neurons. Common examples include hippocampal place cells that fire at preferred locations in the navigated environment, head direction cells that fire at preferred orientations of the animal's head, view cells that respond to preferred spots in the visual field, etc. In all these cases, firing fields were discovered empirically, by trial and error. We argue that the existence and a number of properties of the firing fields can be established theoretically, through topological analyses of the neuronal spiking activity. In particular, we use Leray criterion powered by persistent homology theory, Eckhoff conditions and Region Connection Calculus to verify consistency of neuronal responses with a single coherent representation of space.

Indexed as

AnimalsHippocampusHumansModels, TheoreticalNeuronsPrimatesSpace Perception

Identifiers

PMID34697340
PMCPMC8546096

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.