Evidence map›Paper›PMID 34762650›Full record

ArticlePLoS computational biology2021

Diverse processing underlying frequency integration in midbrain neurons of barn owls.

Julia C Gorman, Oliver L Tufte, Anna V R Miller, William M DeBello, José L Peña, Brian J Fischer

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 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
0.1field-weighted citation impact, top 56% of its field
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 citations in OpenAlex.

  1. Review
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 at 3 institutions in 1 country.

Julia C GormanDepartment of Mathematics, Seattle University, Seattle, Washington, United States of America.ORCID 0000-0002-9612-7123
Oliver L TufteDepartment of Mathematics, Seattle University, Seattle, Washington, United States of America.
Anna V R MillerDepartment of Mathematics, Seattle University, Seattle, Washington, United States of America.
William M DeBelloCenter for Neuroscience, University of California - Davis, Davis, California, United States of America.
José L PeñaDominick P Purpura Department of Neuroscience, Albert Einstein College of Medicine, New York, New York, United States of America.ORCID 0000-0001-6773-5640
Brian J FischerDepartment of Mathematics, Seattle University, Seattle, Washington, United States of America.ORCID 0000-0001-5786-0544
Seattle University · USAlbert Einstein College of Medicine · USUniversity of California, Davis · US

Funding

SUPPORT FOR THE ROSE F KENNEDY IDDRC P50P50HD105352 · NICHD · ALBERT EINSTEIN COLLEGE OF MEDICINE · PI SOPHIE MOLHOLM, Steven Upshaw Walkley · 2021 to 2026
$7.0M
From microscale structure to population coding of normal and learned behaviorR01NS104911 · NINDS · ALBERT EINSTEIN COLLEGE OF MEDICINE, INC · PI DEBELLO, WILIAM MCINTYRE, ELLISMAN, MARK H · 2017 to 2021
$3.3M
NICHD NIH HHS P50 HD105352NINDS NIH HHS R01 NS104911
6 · The paper itself

Abstract

Emergent response properties of sensory neurons depend on circuit connectivity and somatodendritic processing. Neurons of the barn owl's external nucleus of the inferior colliculus (ICx) display emergence of spatial selectivity. These neurons use interaural time difference (ITD) as a cue for the horizontal direction of sound sources. ITD is detected by upstream brainstem neurons with narrow frequency tuning, resulting in spatially ambiguous responses. This spatial ambiguity is resolved by ICx neurons integrating inputs over frequency, a relevant processing in sound localization across species. Previous models have predicted that ICx neurons function as point neurons that linearly integrate inputs across frequency. However, the complex dendritic trees and spines of ICx neurons raises the question of whether this prediction is accurate. Data from in vivo intracellular recordings of ICx neurons were used to address this question. Results revealed diverse frequency integration properties, where some ICx neurons showed responses consistent with the point neuron hypothesis and others with nonlinear dendritic integration. Modeling showed that varied connectivity patterns and forms of dendritic processing may underlie observed ICx neurons' frequency integration processing. These results corroborate the ability of neurons with complex dendritic trees to implement diverse linear and nonlinear integration of synaptic inputs, of relevance for adaptive coding and learning, and supporting a fundamental mechanism in sound localization.

Indexed as

Acoustic StimulationAnimalsComputational BiologyInferior ColliculiMesencephalonNeuronsSound LocalizationStrigiformes

Identifiers

PMID34762650
PMCPMC8610287
OpenAlexW3213430018

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.