Evidence map›Paper›PMID 42023416›Full record

ArticleThe Journal of experimental biology2026

First come, first served: neuronal processing of multi-echo streams in the auditory cortex of echolocating bats.

M Jerome Beetz, Manfred Kössl, Julio C Hechavarría

Abstract read
In one paragraph

Article in The Journal of experimental biology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
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0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

M Jerome BeetzInstitute for Cell Biology and Neuroscience, Goethe University, 60438 Frankfurt, Germany.ORCID 0000-0001-6568-8596
Manfred KösslInstitute for Cell Biology and Neuroscience, Goethe University, 60438 Frankfurt, Germany.
Julio C HechavarríaInstitute for Cell Biology and Neuroscience, Goethe University, 60438 Frankfurt, Germany.ORCID 0000-0002-9336-9901

Funding

Deutsche Forschungsgemeinschaft 520223571Deutsche Forschungsgemeinschaft 525004430Deutsche Forschungsgemeinschaft BE 8388/1-1Deutsche Forschungsgemeinschaft KO 987/12-2University of Würzburg
6 · The paper itself

Abstract

Echolocating bats emit acoustic pulses that get reflected off objects. The spatial information carried by the echoes enables bats to avoid obstacles in darkness. Usually, every pulse is followed by a cascade of echoes arising from multiple objects. By using echolocation sequences where single pulses are followed by echo cascades, we recently demonstrated that cortical neurons predominantly responded to the leading echo. Responses to lagging echoes from a cascade were suppressed, suggesting that spatial information from the most immediate object is processed at the cortex level. In that study, the leading echo was typically the most intense, leaving it unclear whether the echo selectivity was due to echo order or echo level. Here, we recorded from the auditory cortex of anaesthetized Carollia perspicillata, while stimulating the bats with echolocation sequences that contained echo cascades either with echo levels that were equally intense or where the leading echo was less intense than the lagging ones. Our results demonstrate that the echo level has only minor effects on neural processing and that the echo selectivity is mostly caused by the echo order. These results go in line with the neural time window of sensation hypothesis, proposed by Roverud and Grinnell. Whenever the bat hears a pulse, a neural time window opens, and any subsequent high-frequency signal within the spectral range of that pulse is by default classified as an echo, thereby closing the sensation window. This mechanism renders large parts of the cortex less responsive to distant objects, regardless of the echo intensity they produced.

Indexed as

Auditory CortexChiropteraEcholocationNeuronsAcoustic StimulationAnimalsBiosonarDistance codingEcho delayEcholocationElectrophysiology

Identifiers

PMID42023416
PMCPMC13286348

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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.