Trial reportThe European journal of neuroscience2012
Dissociating hippocampal and striatal contributions to sequential prediction learning.
Trial report in The European journal of neuroscience, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 61 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
61 citing papers in PubMed.
- Forget-me-some: General versus special purpose models in a hierarchical probabilistic task.PloS one · 2018Trial
- Brain networks for confidence weighting and hierarchical inference during probabilistic learning.Proceedings of the National Academy of Sciences of the United States of America · 2017Trial
- Adult age differences in learning on a sequentially cued prediction task.The journals of gerontology. Series B, Psychological sciences and social sciences · 2014Trial
- Discovery, Interruption, and Updating of Auditory Regularities in Memory: Evidence from Low-Frequency Brain Dynamics in Human MEG.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Article
- Impaired micro-online motor learning processes in individuals with severe anxiety.Frontiers in human neuroscience · 2026Article
- Trial-by-trial learning of successor representations in human behavior.bioRxiv : the preprint server for biology · 2025Article
- Trial-by-trial learning of successor representations in human behavior.PLoS computational biology · 2025Article
- Goal-directed behavior and hippocampal activity predict real-life impact of drinking intentions in alcohol use disorder.Translational psychiatry · 2025Article
- Replay in the human visual cortex during brief task pauses is linked to implicit learning of successor representations.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- A Bayesian Time-Varying Psychophysiological Interaction Model.Data science in science · 2025Article
- A dopaminergic basis of behavioral control.bioRxiv : the preprint server for biology · 2024Article
- Cognitive Graphs: Representational Substrates for Planning.Decision (Washington, D.C.) · 2024Article
- Intentional learning establishes multiple attentional sets that simultaneously guide attention.Journal of experimental psychology. General · 2024Article
- Structured memory representations develop at multiple time scales in hippocampal-cortical networks.bioRxiv : the preprint server for biology · 2023Article
- Glutamatergic dysfunction leads to a hyper-dopaminergic phenotype through deficits in short-term habituation: a mechanism for aberrant salience.Molecular psychiatry · 2023Article
- Mixing memory and desire: How memory reactivation supports deliberative decision-making.Wiley interdisciplinary reviews. Cognitive science · 2022Review
- Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data.Scientific reports · 2021Article
- Neural Substrates of Incidental Associations and Mediated Learning: The Role of Cannabinoid Receptors.Frontiers in behavioral neuroscience · 2021Review
- Distentangling the systems contributing to changes in learning during adolescence.Developmental cognitive neuroscience · 2020Article
- Convergent and Distinct Effects of Multisensory Combination on Statistical Learning Using a Computer Glove.Frontiers in psychology · 2020Article
1 more citing papers are in PubMed but not listed here.
Corrections and comments
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Authors and funding
2 authors.
Funding
Abstract
Behavior may be generated on the basis of many different kinds of learned contingencies. For instance, responses could be guided by the direct association between a stimulus and response, or by sequential stimulus-stimulus relationships (as in model-based reinforcement learning or goal-directed actions). However, the neural architecture underlying sequential predictive learning is not well understood, in part because it is difficult to isolate its effect on choice behavior. To track such learning more directly, we examined reaction times (RTs) in a probabilistic sequential picture identification task in healthy individuals. We used computational learning models to isolate trial-by-trial effects of two distinct learning processes in behavior, and used these as signatures to analyse the separate neural substrates of each process. RTs were best explained via the combination of two delta rule learning processes with different learning rates. To examine neural manifestations of these learning processes, we used functional magnetic resonance imaging to seek correlates of time-series related to expectancy or surprise. We observed such correlates in two regions, hippocampus and striatum. By estimating the learning rates best explaining each signal, we verified that they were uniquely associated with one of the two distinct processes identified behaviorally. These differential correlates suggest that complementary anticipatory functions drive each region's effect on behavior. Our results provide novel insights as to the quantitative computational distinctions between medial temporal and basal ganglia learning networks and enable experiments that exploit trial-by-trial measurement of the unique contributions of both hippocampus and striatum to response behavior.
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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.