Evidence map›Paper›PMID 38291282›Full record

ArticleNature neuroscience2024

Temporal scaling of motor cortical dynamics reveals hierarchical control of vocal production.

Arkarup Banerjee, Feng Chen, Shaul Druckmann, Michael A Long

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
7.1field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 14 citations in OpenAlex.

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  10. A Cortical Site that Encodes Vocal Expression and Reception.bioRxiv : the preprint server for biology · 2024
    Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 1 country.

Arkarup Banerjee *NYU Neuroscience Institute, New York University Langone Health, New York, NY, USA. abanerjee@cshl.edu.ORCID http://orcid.org/0000-0003-1979-857X
Feng Chen *Department of Applied Physics, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0002-8645-7356
Shaul DruckmannDepartment of Neurobiology, Stanford University, Stanford, CA, USA.ORCID http://orcid.org/0000-0003-0068-3377
Michael A LongNYU Neuroscience Institute, New York University Langone Health, New York, NY, USA. mlong@med.nyu.edu.ORCID http://orcid.org/0000-0002-9283-3741
Stanford University · USCold Spring Harbor Laboratory · USNYU Langone Health · US

Funding

Neural Computations Underlying Vocal Sensorimotor TransformationsR01NS113071 · NINDS · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI LONG, MICHAEL A · 2019 to 2023
$3.4M
Neural Mechanisms for Flexible Vocal CommunicationRF1NS132046 · NINDS · COLD SPRING HARBOR LABORATORY · PI BANERJEE, ARKARUP · 2023 to 2023
$2.1M
NINDS NIH HHS R01 NS113071NINDS NIH HHS RF1 NS132046
6 · The paper itself

Abstract

Neocortical activity is thought to mediate voluntary control over vocal production, but the underlying neural mechanisms remain unclear. In a highly vocal rodent, the male Alston's singing mouse, we investigate neural dynamics in the orofacial motor cortex (OMC), a structure critical for vocal behavior. We first describe neural activity that is modulated by component notes (~100 ms), probably representing sensory feedback. At longer timescales, however, OMC neurons exhibit diverse and often persistent premotor firing patterns that stretch or compress with song duration (~10 s). Using computational modeling, we demonstrate that such temporal scaling, acting through downstream motor production circuits, can enable vocal flexibility. These results provide a framework for studying hierarchical control circuits, a common design principle across many natural and artificial systems.

Indexed as

Motor CortexAnimalsFeedback, SensoryMaleMiceNeuronsVocalization, Animal

Identifiers

PMID38291282
PMCPMC13103746
OpenAlexW4391351011

What OpenQuestion holds

Textmetadata
LicenceTDM
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.