Evidence map›Paper›PMID 32716912›Full record

ArticlePLoS computational biology2020

A circuit model of auditory cortex.

Youngmin Park, Maria N Geffen

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
2.8field-weighted citation impact, top 9% 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

18 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  7. Stimulus-Specific Prediction Error Neurons in Mouse Auditory Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
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  10. Correction: A circuit model of auditory cortex.PLoS computational biology · 2022
    Article
  11. [Auditory response patterns of mouse primary auditory cortex to sound stimuli].Nan fang yi ke da xue xue bao = Journal of Southern Medical University · 2022
    Article
  12. A Novel Layer 4 Corticofugal Cell Type/Projection Involved in Thalamo-Cortico-Striatal Sensory Processing.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

2 authors at 1 institution in 1 country.

Youngmin ParkDepartment of Otorhinolaryngology: HNS, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-1778-2160
Maria N GeffenDepartment of Otorhinolaryngology: HNS, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.ORCID 0000-0003-3022-2993
University of Pennsylvania · US

Funding

Quantitative Neuroscience: Tools for Bridging Levels of AnalysisT32NS007292 · NINDS · BRANDEIS UNIVERSITY · PI GINA G TURRIGIANO · 1986 to 2026
$12.7M
Circuit Mechanisms of Sound Processing and Detection in the Auditory PathwayR01DC014479 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI GEFFEN, MARIA NEIMARK · 2015 to 2024
$4.7M
Neuronal circuits supporting learning-driven changes in auditory perception.R01DC015527 · NIDCD · UNIVERSITY OF PENNSYLVANIA · PI Maria Neimark Geffen · 2017 to 2026
$4.5M
Neuronal circuits for context-driven bias in auditory categorizationR01NS113241 · NINDS · UNIVERSITY OF PENNSYLVANIA · PI COHEN, YALE E, GEFFEN, MARIA NEIMARK · 2019 to 2023
$3.5M
NIDCD NIH HHS R01 DC014479NIDCD NIH HHS R01 DC015527NINDS NIH HHS R01 NS113241NINDS NIH HHS T32 NS007292
6 · The paper itself

Abstract

The mammalian sensory cortex is composed of multiple types of inhibitory and excitatory neurons, which form sophisticated microcircuits for processing and transmitting sensory information. Despite rapid progress in understanding the function of distinct neuronal populations, the parameters of connectivity that are required for the function of these microcircuits remain unknown. Recent studies found that two most common inhibitory interneurons, parvalbumin- (PV) and somatostatin-(SST) positive interneurons control sound-evoked responses, temporal adaptation and network dynamics in the auditory cortex (AC). These studies can inform our understanding of parameters for the connectivity of excitatory-inhibitory cortical circuits. Specifically, we asked whether a common microcircuit can account for the disparate effects found in studies by different groups. By starting with a cortical rate model, we find that a simple current-compensating mechanism accounts for the experimental findings from multiple groups. They key mechanisms are two-fold. First, PVs compensate for reduced SST activity when thalamic inputs are strong with less compensation when thalamic inputs are weak. Second, SSTs are generally disinhibited by reduced PV activity regardless of thalamic input strength. These roles are augmented by plastic synapses. These roles reproduce the differential effects of PVs and SSTs in stimulus-specific adaptation, forward suppression and tuning-curve adaptation, as well as the influence of PVs on feedforward functional connectivity in the circuit. This circuit exhibits a balance of inhibitory and excitatory currents that persists on stimulation. This approach brings together multiple findings from different laboratories and identifies a circuit that can be used in future studies of upstream and downstream sensory processing.

Indexed as

Computational BiologyModels, NeurologicalOptogeneticsAlgorithmsAnimalsAuditory CortexComputer SimulationHumansInterneuronsSynapsesThalamusTime Factors

Identifiers

PMID32716912
PMCPMC7410340
OpenAlexW3046202241

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.