Article

Exposure to temporal randomness promotes subsequent adaptation to new temporal regularities

2023-06-06

Abstract excerpt

Noise is intuitively thought to interfere with perceptual learning; However, human and machine learning studies suggest that, in certain contexts, variability may reduce overfitting and improve generalizability. Whereas previous studies have examined the effects of variability in learned stimuli or tasks, it is hitherto unknown what are the effects of variability in the temporal environment. Here, we examined this...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 920bc756-e2aa-5545-bb6c-fca5f7d0d70f
DOI: 10.1101/2023.06.04.543595

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Exposure to temporal randomness promotes subsequent adaptation to new temporal regularitiesDOI 10.1101/2023.06.04.543595Read

A perceptual glitch in serial perception generating temporal distortionsSemantic proximity Read

Memory Transfer of Random Time Patterns Across ModalitiesSemantic proximity Read

A normative account of human temporal structure learningSemantic proximity Read

Tracking the contribution of inductive bias to individualized internal modelsSemantic proximity Read

A dynamic normalization model of temporal attentionSemantic proximity Read

Random behavior is stable across tasks and timeSemantic proximity Read

Online abstraction during statistical learning revealed by neural entrainment from intracranial recordingsSemantic proximity Read

Implicit Learning of Temporal Behavior in Complex Dynamic EnvironmentsSemantic proximity Read

Understanding the Structure of Cognitive NoiseSemantic proximity Read

Humans adapt their anticipatory eye movements to the volatility of visual motion propertiesSemantic proximity Read

Identifying Transfer Learning in the Reshaping of Inductive BiasesSemantic proximity Read

Environmental dynamics shape human learning: change points versus random walksSemantic proximity Read