Evidence map›Paper›PMID 39933524›Full record

ArticleNeuron2025

Slow cortical dynamics generate context processing and novelty detection.

Yuriy Shymkiv, Jordan P Hamm, Sean Escola, Rafael Yuste

Abstract read
In one paragraph

Article in Neuron, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
  6. Global context rapidly shapes sensory responses in V1.bioRxiv : the preprint server for biology · 2026
    Article
  7. Cortical deviance detection represents a canonical difference signal.bioRxiv : the preprint server for biology · 2026
    Article
  8. Article
  9. The Somatosensory Mismatch Negativity.The European journal of neuroscience · 2025
    Review
  10. Article
  11. Article
  12. Irrationality in humans and creativity in AI.Frontiers in artificial intelligence · 2025
    Review
  13. 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.

Yuriy ShymkivNeurotechnology Center, Department of Biological Sciences, Columbia University, New York, NY, USA. Electronic address: ys2605@columbia.edu.
Jordan P HammNeurotechnology Center, Department of Biological Sciences, Columbia University, New York, NY, USA.
Sean EscolaZuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA; Department of Psychiatry, Columbia University, New York, NY, USA.
Rafael YusteNeurotechnology Center, Department of Biological Sciences, Columbia University, New York, NY, USA.

Funding

Reexamining the Role of Dendrites in Neuronal FunctionRM1NS132981 · NINDS · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Jayeeta Basu, RAFAEL YUSTE · 2023 to 2026
$10.3M
Training in Schizophrenia and Psychotic Disorders: From Animal Models to PatientsT32MH018870 · NIMH · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI Guillermo Horga, Christoph Kellendonk · 1988 to 2026
$9.8M
Effect of GABAergic inhibition of dendritic spines on synaptic pruning in the medial prefrontal cortex during adolescenceR01MH115900 · NIMH · SUNY DOWNSTATE MEDICAL CENTER · PI SMITH, SHERYL S · 2019 to 2023
$3.2M
Circuits for deviance detection in V1R01EY033950 · NEI · NATHAN S. KLINE INSTITUTE FOR PSYCH RES · PI Jordan P Hamm · 2022 to 2026
$2.0M
Mechanisms of Neuronal Ensembles in Visual CortexR01EY035248 · NEI · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI RAFAEL YUSTE · 2024 to 2026
$1.7M
NEI NIH HHS R01 EY033950NEI NIH HHS R01 EY035248NIMH NIH HHS R01 MH115900NIMH NIH HHS T32 MH018870NINDS NIH HHS RM1 NS132981
6 · The paper itself

Abstract

The cortex amplifies responses to novel stimuli while suppressing redundant ones. Novelty detection is necessary to efficiently process sensory information and build predictive models of the environment, and it is also altered in schizophrenia. To investigate the circuit mechanisms underlying novelty detection, we used an auditory "oddball" paradigm and two-photon calcium imaging to measure responses to simple and complex stimuli across mouse auditory cortex. Stimulus statistics and complexity generated specific responses across auditory areas. Neuronal ensembles reliably encoded auditory features and temporal context. Interestingly, stimulus-evoked population responses were particularly long lasting, reflecting stimulus history and affecting future responses. These slow cortical dynamics encoded stimulus temporal context and generated stronger responses to novel stimuli. Recurrent neural network models trained on the oddball task also exhibited slow network dynamics and recapitulated the biological data. We conclude that the slow dynamics of recurrent cortical networks underlie processing and novelty detection.

Indexed as

Auditory CortexAuditory PerceptionNeuronsAcoustic StimulationAnimalsMaleMiceMice, Inbred C57BLModels, NeurologicalNerve NetNeural Networks, Computerauditory cortexdeviance detectionensembleshistoricitymismatch negativityoddballprediction errorpredictive codingschizophreniastimulus-specific adaptation

Identifiers

PMID39933524
PMCPMC11925667

What OpenQuestion holds

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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.