Evidence map›Paper›PMID 30860480›Full record

ArticleeLife2019

Generalization of learned responses in the mormyrid electrosensory lobe.

Conor Dempsey, L F Abbott, Nathaniel B Sawtell

Open access · goldAbstract read
In one paragraph

Article in eLife, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.9field-weighted citation impact, top 32% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

  1. Article
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  5. Review
  6. Habituation as a neural algorithm for online odor discrimination.Proceedings of the National Academy of Sciences of the United States of America · 2020
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Conor DempseyDepartment of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.
L F AbbottDepartment of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.
Nathaniel B SawtellDepartment of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, United States.ORCID 0000-0002-1859-8026
Columbia University · US

Funding

Roles for Granule Cells in Adaptive Processing in a Cerebellum-like CircuitR01NS075023 · NINDS · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI ABBOTT, LAURENCE F., SAWTELL, NATHANIEL · 2012 to 2025
$5.8M
National Science Foundation 1025849National Science Foundation 1707398NINDS NIH HHS NS075023NINDS NIH HHS R01 NS075023
6 · The paper itself

Abstract

Appropriate generalization of learned responses to new situations is vital for adaptive behavior. We provide a circuit-level account of generalization in the electrosensory lobe (ELL) of weakly electric mormyrid fish. Much is already known in this system about a form of learning in which motor corollary discharge signals cancel responses to the uninformative input evoked by the fish's own electric pulses. However, for this cancellation to be useful under natural circumstances, it must generalize accurately across behavioral regimes, specifically different electric pulse rates. We show that such generalization indeed occurs in ELL neurons, and develop a circuit-level model explaining how this may be achieved. The mechanism involves regularized synaptic plasticity and an approximate matching of the temporal dynamics of motor corollary discharge and electrosensory inputs. Recordings of motor corollary discharge signals in mossy fibers and granule cells provide direct evidence for such matching.

Indexed as

Adaptation, PsychologicalElectricityGeneralization, PsychologicalLearningPerceptionAnimalsBehavior, AnimalCerebrumElectric FishElectric OrganModels, NeurologicalNeuronal PlasticityNeuronscerebellumcorollary dischargeelectric fishgeneralizationneurosciencesynaptic plasticity

Identifiers

PMID30860480
PMCPMC6457893
OpenAlexW2921041117

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.