Evidence map›Paper›PMID 24808858›Full record

ArticleFrontiers in neuroinformatics2014

NeuroElectro: a window to the world's neuron electrophysiology data.

Shreejoy J Tripathy, Judith Savitskaya, Shawn D Burton, Nathaniel N Urban, Richard C Gerkin

Abstract read
In one paragraph

Article in Frontiers in neuroinformatics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 65 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
65citing papers in PubMed, 1 pooled it
–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

65 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  12. Neural heterogeneity controls computations in spiking neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  13. Neurobiological Causal Models of Language Processing.Neurobiology of language (Cambridge, Mass.) · 2024
    Article
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5 more citing papers are in PubMed but not listed here.

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

5 authors.

Shreejoy J TripathyDepartment of Biological Sciences, Carnegie Mellon University Pittsburgh, PA, USA ; Center for the Neural Basis of Cognition, Carnegie Mellon University Pittsburgh, PA, USA.
Judith SavitskayaDepartment of Biological Sciences, Carnegie Mellon University Pittsburgh, PA, USA.
Shawn D BurtonDepartment of Biological Sciences, Carnegie Mellon University Pittsburgh, PA, USA ; Center for the Neural Basis of Cognition, Carnegie Mellon University Pittsburgh, PA, USA.
Nathaniel N UrbanDepartment of Biological Sciences, Carnegie Mellon University Pittsburgh, PA, USA ; Center for the Neural Basis of Cognition, Carnegie Mellon University Pittsburgh, PA, USA.
Richard C GerkinDepartment of Biological Sciences, Carnegie Mellon University Pittsburgh, PA, USA ; Center for the Neural Basis of Cognition, Carnegie Mellon University Pittsburgh, PA, USA.

Funding

Intraglomerular Lateral Inhibition in the Olfactory BulbR01DC005798 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI URBAN, NATHAN NEAL · 2002 to 2012
$2.9M
PHYSIOLOGICAL AND COMPUTATIONAL APPROACHES TO UNDERSTANDING NEURONAL SYNCHRONIZATR01DC011184 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI URBAN, NATHAN NEAL · 2010 to 2014
$1.5M
TEMPORAL PRECISION AND DYNAMICAL CODING IN THE OLFACTORY BULBF32DC010535 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI GERKIN, RICHARD C · 2010 to 2012
$159k
SPATIAL AND TEMPORAL PROPERTIES OF GRANULE CELL RECRUITMENT IN THE MAMMALIAN OLFACTORY BULBF31DC013490 · NIDCD · CARNEGIE-MELLON UNIVERSITY · PI BURTON, SHAWN DENVER · 2013 to 2015
$128k
NIDCD NIH HHS F31 DC013490NIDCD NIH HHS F32 DC010535NIDCD NIH HHS R01 DC005798NIDCD NIH HHS R01 DC011184
6 · The paper itself

Abstract

The behavior of neural circuits is determined largely by the electrophysiological properties of the neurons they contain. Understanding the relationships of these properties requires the ability to first identify and catalog each property. However, information about such properties is largely locked away in decades of closed-access journal articles with heterogeneous conventions for reporting results, making it difficult to utilize the underlying data. We solve this problem through the NeuroElectro project: a Python library, RESTful API, and web application (at http://neuroelectro.org) for the extraction, visualization, and summarization of published data on neurons' electrophysiological properties. Information is organized both by neuron type (using neuron definitions provided by NeuroLex) and by electrophysiological property (using a newly developed ontology). We describe the techniques and challenges associated with the automated extraction of tabular electrophysiological data and methodological metadata from journal articles. We further discuss strategies for how to best combine, normalize and organize data across these heterogeneous sources. NeuroElectro is a valuable resource for experimental physiologists attempting to supplement their own data, for computational modelers looking to constrain their model parameters, and for theoreticians searching for undiscovered relationships among neurons and their properties.

Indexed as

APIdatabaseelectrophysiologymachine learningmetadatanatural language processingneuroinformaticstext-mining

Identifiers

PMID24808858
PMCPMC4010726

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.