Evidence map›Paper›PMID 35358415›Full record

ArticleNeuron2022

Adaptive erasure of spurious sequences in sensory cortical circuits.

Alberto Bernacchia, József Fiser, Guillaume Hennequin, Máté Lengyel

Open access · hybridAbstract read
In one paragraph

Article in Neuron, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Input-dependent directionality of interactions between cortical areas.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Neural Sequences and the Encoding of Time.Advances in experimental medicine and biology · 2024
    Review
  4. Article
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

4 authors at 2 institutions in 3 countries.

Alberto BernacchiaComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom; MediaTek Research, Building 2010, Cambourne Business Park, Cambourne, CB23 6DW, United Kingdom. Electronic address: ab2349@cam.ac.uk.
József FiserCenter for Cognitive Computation, Department of Cognitive Science, Central European University, Budapest 1051, Hungary.
Guillaume HennequinComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom.
Máté LengyelComputational and Biological Learning Lab, Department of Engineering, University of Cambridge, Cambridge CB2 1PZ, United Kingdom; Center for Cognitive Computation, Department of Cognitive Science, Central European University, Budapest 1051, Hungary.
University of Cambridge · GBCentral European University · AT

Funding

Wellcome Trust 202111/Z/16/ZWellcome Trust 212262/Z/18/Z
6 · The paper itself

Abstract

Sequential activity reflecting previously experienced temporal sequences is considered a hallmark of learning across cortical areas. However, it is unknown how cortical circuits avoid the converse problem: producing spurious sequences that are not reflecting sequences in their inputs. We develop methods to quantify and study sequentiality in neural responses. We show that recurrent circuit responses generally include spurious sequences, which are specifically prevented in circuits that obey two widely known features of cortical microcircuit organization: Dale's law and Hebbian connectivity. In particular, spike-timing-dependent plasticity in excitation-inhibition networks leads to an adaptive erasure of spurious sequences. We tested our theory in multielectrode recordings from the visual cortex of awake ferrets. Although responses to natural stimuli were largely non-sequential, responses to artificial stimuli initially included spurious sequences, which diminished over extended exposure. These results reveal an unexpected role for Hebbian experience-dependent plasticity and Dale's law in sensory cortical circuits.

Indexed as

Models, NeurologicalVisual CortexAnimalsFerretsNeuronal PlasticityParietal Lobecortical circuitsDale's lawexcitation/inhibitionHebbian plasticityneural dynamicssequential activitystatistical adaptation

Identifiers

PMID35358415
PMCPMC9616807
OpenAlexW4220668707

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.