ArticleNature2025
Discovering cognitive strategies with tiny recurrent neural networks.
Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
23 citing papers in PubMed.
- Human learning of probability distributions is biased toward moderate structural complexity.Nature communications · 2026Article
- Decoding behavior with minimal and interpretable agent models.PLoS computational biology · 2026Article
- Interpretable abstractions of artificial neural networks predict behavior and neural activity during human information gathering.Nature neuroscience · 2026Article
- Generative AI as a transformational logic for cognitive neuroscience.Communications biology · 2026Review
- AI-Discovered Cognitive Models Reveal Novel Insights into Human and Animal Learning.bioRxiv : the preprint server for biology · 2026Article
- AI-driven complex systems redefine cognitive science.Innovation (Cambridge (Mass.)) · 2026Review
- Hybrid neural-cognitive models reveal how memory shapes human reward learning.Nature human behaviour · 2026Article
- Predictive pursuit emerges in high-dimensional recurrent neural networks.bioRxiv : the preprint server for biology · 2026Article
- Asymmetric Reinforcement Learning Explains Human Choice Patterns in Decision-making Under Risk.bioRxiv : the preprint server for biology · 2026Article
- Excessive Flexibility? Recurrent Neural Networks Can Accommodate Individual Differences in Reinforcement Learning Through In-Context Adaptation.Computational brain & behavior · 2026Article
- Contextual inference through flexible integration of environmental features and behavioural outcomes.PLoS computational biology · 2026Article
- Inferring latent behavioral strategy from the representational geometry of prefrontal cortex activity.Nature communications · 2026Article
- Tiny recurrent neural networks for discovering cognitive strategies.Nature reviews. Neuroscience · 2026Article
- Digital Twin Brain: Generating Multitask Behavior from Connectomes for Personalized Therapy.BME frontiers · 2026Article
- Designing Neural Dynamics: From Digital Twin Modeling to Regeneration.International journal of molecular sciences · 2025Review
- Recurrent neural network models reveal unified mechanisms generating event-related potentials from MMN to P300.bioRxiv : the preprint server for biology · 2025Article
- Human Strategy Adaptation in Reinforcement Learning Resembles Policy Gradient Ascent.bioRxiv : the preprint server for biology · 2025Article
- Integrated multiobjective optimization of RFSSW parameters for AA2024-T3 using ANOVA machine learning and NSGA II.Scientific reports · 2025Article
- Automating the practice of science: Opportunities, challenges, and implications.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Semantic Anchors Facilitate Task Encoding in Continual Learning.Open mind : discoveries in cognitive science · 2025Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Understanding how animals and humans learn from experience to make adaptive decisions is a fundamental goal of neuroscience and psychology. Normative modelling frameworks such as Bayesian inference
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What OpenQuestion holds
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.