ArticleeLife2023
Strategically managing learning during perceptual decision making.
Article in eLife, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
What it found
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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.
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.
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Who cites it
13 citing papers in PubMed.
- Fraternal cooperation of hierarchical cancer parallels metazoan multicellularity and eusociality.Biological reviews of the Cambridge Philosophical Society · 2026Review
- A drift-diffusion model of temporal generalization outperforms existing models and captures modality differences and learning effects.Behavior research methods · 2025Article
- Learning expectations shape cognitive control allocation.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- How cortico-basal ganglia-thalamic subnetworks can shift decision policies to increase reward rate.PLoS computational biology · 2025Article
- Single-Neuron Encoding of Learnability in the Dorsal Anterior Cingulate Cortex.bioRxiv : the preprint server for biology · 2025Article
- Article
- Disentangling sources of variability in decision-making.Nature reviews. Neuroscience · 2025Review
- Cross-Frequency Couplings Reveal Mice Visual Cortex Selectivity to Grating Orientations.Brain and behavior · 2025Article
- Modelling cognitive flexibility with deep neural networks.Current opinion in behavioral sciences · 2024Article
- Learning to Choose: Behavioral Dynamics Underlying the Initial Acquisition of Decision-Making.eNeuro · 2024Article
- Learning to Choose: Behavioral Dynamics Underlying the Initial Acquisition of Decision Making.bioRxiv : the preprint server for biology · 2024Article
- The dynamic strategy shifting task: Optimisation of an operant task for assessing cognitive flexibility in rats.Frontiers in psychiatry · 2024Article
- Pushing the Bounds of Bounded Optimality and Rationality.Cognitive science · 2023Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
Abstract
Making optimal decisions in the face of noise requires balancing short-term speed and accuracy. But a theory of optimality should account for the fact that short-term speed can influence long-term accuracy through learning. Here, we demonstrate that long-term learning is an important dynamical dimension of the speed-accuracy trade-off. We study learning trajectories in rats and formally characterize these dynamics in a theory expressed as both a recurrent neural network and an analytical extension of the drift-diffusion model that learns over time. The model reveals that choosing suboptimal response times to learn faster sacrifices immediate reward, but can lead to greater total reward. We empirically verify predictions of the theory, including a relationship between stimulus exposure and learning speed, and a modulation of reaction time by future learning prospects. We find that rats' strategies approximately maximize total reward over the full learning epoch, suggesting cognitive control over the learning process.
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Registered trials
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.