ArticleCurrent opinion in behavioral sciences2021
Inference as a fundamental process in behavior.
Article in Current opinion in behavioral sciences, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
8 citing papers in PubMed.
- Abstract rule generalization for composing novel meaning recruits a frontoparietal control network.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Hippocampal sequences span experience relative to rewards.bioRxiv : the preprint server for biology · 2024Article
- Dopamine-independent effect of rewards on choices through hidden-state inference.Nature neuroscience · 2024Article
- Infants infer and predict coherent event interactions: Modeling cognitive development.PloS one · 2024Article
- Hierarchical inference as a source of human biases.Cognitive, affective & behavioral neuroscience · 2023Article
- Controllability boosts neural and cognitive signatures of changes-of-mind in uncertain environments.eLife · 2022Article
- Nudging societally relevant behavior by promoting cognitive inferences.Scientific reports · 2022Article
- Mice exhibit stochastic and efficient action switching during probabilistic decision making.Proceedings of the National Academy of Sciences of the United States of America · 2022Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
Abstract
In the real world, uncertainty is omnipresent due to incomplete or noisy information. This makes inferring the state-of-the-world difficult. Furthermore, the state-of-the-world often changes over time, though with some regularity. This makes learning and decision-making challenging. Organisms have evolved to take advantage of environmental regularities, that allow organisms to acquire a model of the world and perform model-based inference to robustly make decisions and adjust behavior efficiently under uncertainty. Recent research has shed light on many aspects of model-based inference and its neural underpinnings. Here we review recent progress on hidden-state inference, state transition inference, and hierarchical inference processes.
Identifiers
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.