ReviewCurrent opinion in neurobiology2022
Learning, fast and slow.
Review in Current opinion in neurobiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 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
19 citing papers in PubMed.
- Striatal endocannabinoids drive one-shot learning.Nature neuroscience · 2026Article
- Feature interference underlies a neuronal basis for the behavioral cost of task uncertainty.Nature neuroscience · 2026Article
- Economic and social modulations of innate decision-making in mice exposed to visual threats.eLife · 2026Article
- The choice-wide behavioral association study: data-driven identification of interpretable behavioral components.Nature communications · 2026Article
- Adaptive algorithms for shaping behavior.PLoS computational biology · 2025Article
- Article
- Navigation strategies in Caenorhabditis elegans are differentially altered by learning.PLoS biology · 2025Article
- Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal identity and reward contingency signals during rule-reversal.Nature communications · 2025Article
- ONIX: a unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.Nature methods · 2025Article
- Hierarchical behavior control by a single class of interneurons.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Rapid emergence of latent knowledge in the sensory cortex drives learning.bioRxiv : the preprint server for biology · 2024Article
- Behavioral strategy shapes activation of the Vip-Sst disinhibitory circuit in visual cortex.Neuron · 2024Article
- From innate to instructed: A new look at perceptual decision-making.Current opinion in neurobiology · 2024Review
- Task interference as a neuronal basis for the cost of cognitive flexibility.bioRxiv : the preprint server for biology · 2024Article
- Adaptive algorithms for shaping behavior.bioRxiv : the preprint server for biology · 2023Article
- Fast updating feedback from piriform cortex to the olfactory bulb relays multimodal reward contingency signals during rule-reversal.bioRxiv : the preprint server for biology · 2023Article
- A unified open-source platform for multimodal neural recording and perturbation during naturalistic behavior.bioRxiv : the preprint server for biology · 2023Article
- Competitive and cooperative games for probing the neural basis of social decision-making in animals.Neuroscience and biobehavioral reviews · 2023Review
- Behavior is movement only but how to interpret it? Problems and pitfalls in translational neuroscience-a 40-year experience.Frontiers in behavioral neuroscience · 2022Review
Corrections and comments
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Authors and funding
1 author.
Funding
Abstract
Animals can learn efficiently from a single experience and change their future behavior in response. However, in other instances, animals learn very slowly, requiring thousands of experiences. Here, I survey tasks involving fast and slow learning and consider some hypotheses for what differentiates the underlying neural mechanisms. It has been proposed that fast learning relies on neural representations that favor efficient Hebbian modification of synapses. These efficient representations may be encoded in the genome, resulting in a repertoire of fast learning that differs across species. Alternatively, the required neural representations may be acquired from experience through a slow process of unsupervised learning from the environment.
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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.