ArticleNature communications2022
Striatal hub of dynamic and stabilized prediction coding in forebrain networks for olfactory reinforcement learning.
Article in Nature communications, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 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
11 citing papers in PubMed, 19 citations in OpenAlex.
- The Periaqueductal Gray Selectively Supports Reversal Learning During a Flexible Discrimination Task in Mice.bioRxiv : the preprint server for biology · 2026Article
- Phasic dopamine drives conditioned responding beyond its role in learning.bioRxiv : the preprint server for biology · 2026Article
- Deletion of NPAS4 in olfactory bulb principal neurons alters E/I balance and impairs decoding of chemically similar odour molecules.The Journal of physiology · 2026Article
- Brain complexity represents uncertainty in sequence learning and corroborates habituation deficit in Parkinson disease patients.Scientific reports · 2025Article
- Striatal and hippocampal contributions to instrumental learning in the mouse using high-resolution behavioral monitoring and fMRI.Imaging neuroscience (Cambridge, Mass.) · 2025Article
- Anterior Olfactory Cortices Differentially Transform Bottom-Up Odor Signals to Produce Inverse Top-Down Outputs.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024Article
- Oxytocin induces the formation of distinctive cortical representations and cognitions biased toward familiar mice.Nature communications · 2024Article
- Stereotyped goal-directed manifold dynamics in the insular cortex.Cell reports · 2024Article
- Endogenous opioids in the olfactory tubercle and their roles in olfaction and quality of life.Frontiers in neural circuits · 2024Review
- Article
- Interconnected sub-networks of the macaque monkey gustatory connectome.Frontiers in neuroscience · 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
15 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Identifying the circuits responsible for cognition and understanding their embedded computations is a challenge for neuroscience. We establish here a hierarchical cross-scale approach, from behavioral modeling and fMRI in task-performing mice to cellular recordings, in order to disentangle local network contributions to olfactory reinforcement learning. At mesoscale, fMRI identifies a functional olfactory-striatal network interacting dynamically with higher-order cortices. While primary olfactory cortices respectively contribute only some value components, the downstream olfactory tubercle of the ventral striatum expresses comprehensively reward prediction, its dynamic updating, and prediction error components. In the tubercle, recordings reveal two underlying neuronal populations with non-redundant reward prediction coding schemes. One population collectively produces stabilized predictions as distributed activity across neurons; in the other, neurons encode value individually and dynamically integrate the recent history of uncertain outcomes. These findings validate a cross-scale approach to mechanistic investigations of higher cognitive functions in rodents.
Indexed as
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.