Evidence map›Paper›PMID 37183176›Full record

ArticleCerebral cortex (New York, N.Y. : 1991)2023

Expectation violations produce error signals in mouse V1.

Byron H Price, Cambria M Jensen, Anthony A Khoudary, Jeffrey P Gavornik

Abstract read
In one paragraph

Article in Cerebral cortex (New York, N.Y. : 1991), 2023. 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
–field-weighted citation impact
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.

  1. Article
  2. Review
  3. Article
  4. Review
  5. Oddball Evoked Deviant Responses Reflect Complex Context-Dependent Expectations in Mouse V1.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2025
    Article
  6. Learning predictive signals within a local recurrent circuit.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Review
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.

Byron H PriceCenter for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA.
Cambria M JensenCenter for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA.
Anthony A KhoudaryCenter for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA.
Jeffrey P GavornikCenter for Systems Neuroscience, Department of Biology, Boston University, Boston, MA 02215, USA.

Funding

A mechanistic dissection of short and long term spatiotemporal learning in V1R01EY030200 · NEI · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GAVORNIK, JEFFREY PETER · 2020 to 2024
$2.0M
Cortical mechanisms of learned spatial-temporal sequence codingR00MH099654 · NIMH · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI GAVORNIK, JEFFREY PETER · 2015 to 2017
$743k
NEI NIH HHS R01 EY030200NIMH NIH HHS R00 MH099654
6 · The paper itself

Abstract

Repeated exposure to visual sequences changes the form of evoked activity in the primary visual cortex (V1). Predictive coding theory provides a potential explanation for this, namely that plasticity shapes cortical circuits to encode spatiotemporal predictions and that subsequent responses are modulated by the degree to which actual inputs match these expectations. Here we use a recently developed statistical modeling technique called Model-Based Targeted Dimensionality Reduction (MbTDR) to study visually evoked dynamics in mouse V1 in the context of an experimental paradigm called "sequence learning." We report that evoked spiking activity changed significantly with training, in a manner generally consistent with the predictive coding framework. Neural responses to expected stimuli were suppressed in a late window (100-150 ms) after stimulus onset following training, whereas responses to novel stimuli were not. Substituting a novel stimulus for a familiar one led to increases in firing that persisted for at least 300 ms. Omitting predictable stimuli in trained animals also led to increased firing at the expected time of stimulus onset. Finally, we show that spiking data can be used to accurately decode time within the sequence. Our findings are consistent with the idea that plasticity in early visual circuits is involved in coding spatiotemporal information.

Indexed as

Visual CortexAnimalsLearningMiceMotivationPhotic Stimulationplasticityprediction errorsprimary visual cortexstatistical modeling

Identifiers

PMID37183176
PMCPMC10321125

What OpenQuestion holds

Textmetadata
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.