Evidence map›Paper›PMID 39543207›Full record

ArticleNature communications2024

A hierarchical active inference model of spatial alternation tasks and the hippocampal-prefrontal circuit.

Toon Van de Maele, Bart Dhoedt, Tim Verbelen, Giovanni Pezzulo

Abstract read
In one paragraph

Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Toon Van de MaeleIDLab, Department of Information Technology, Ghent University - imec, Ghent, Belgium.ORCID 0000-0001-7583-3291
Bart DhoedtIDLab, Department of Information Technology, Ghent University - imec, Ghent, Belgium.
Tim Verbelen *VERSES Research Lab, Los Angeles, USA.
Giovanni Pezzulo *Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy. giovanni.pezzulo@istc.cnr.it.ORCID 0000-0001-6813-8282

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cognitive problem-solving benefits from cognitive maps aiding navigation and planning. Physical space navigation involves hippocampal (HC) allocentric codes, while abstract task space engages medial prefrontal cortex (mPFC) task-specific codes. Previous studies show that challenging tasks, like spatial alternation, require integrating these two types of maps. The disruption of the HC-mPFC circuit impairs performance. We propose a hierarchical active inference model clarifying how this circuit solves spatial interaction tasks by bridging physical and task-space maps. Simulations demonstrate that the model's dual layers develop effective cognitive maps for physical and task space. The model solves spatial alternation tasks through reciprocal interactions between the two layers. Disrupting its communication impairs decision-making, which is consistent with empirical evidence. Additionally, the model adapts to switching between multiple alternation rules, providing a mechanistic explanation of how the HC-mPFC circuit supports spatial alternation tasks and the effects of disruption.

Indexed as

HippocampusPrefrontal CortexSpatial NavigationAnimalsCognitionDecision MakingHumansModels, NeurologicalNeural PathwaysProblem SolvingSpace Perception

Identifiers

PMID39543207
PMCPMC11564537

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.