Evidence map›Paper›PMID 42699299›Full record

ArticleiScience2026

Experience-dependent emergence of multi-scale spatial organization during foraging in freely moving marmosets.

Nada El Mahmoudi, Francesca Lanzarini, Farzad Ziaie Nezhad, Deepak Surendran, Jean Laurens

Abstract read
In one paragraph

Article in iScience, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Nada El MahmoudiErnst Strüngmann Institute (ESI) of the Max Planck Society, 60528 Frankfurt am Main, Germany.
Francesca LanzariniErnst Strüngmann Institute (ESI) of the Max Planck Society, 60528 Frankfurt am Main, Germany.
Farzad Ziaie NezhadErnst Strüngmann Institute (ESI) of the Max Planck Society, 60528 Frankfurt am Main, Germany.
Deepak SurendranErnst Strüngmann Institute (ESI) of the Max Planck Society, 60528 Frankfurt am Main, Germany.
Jean LaurensErnst Strüngmann Institute (ESI) of the Max Planck Society, 60528 Frankfurt am Main, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How spatial organization emerges through experience in freely moving primates remains incompletely understood. We addressed this question in two common marmosets foraging in a semi-naturalistic depletion-based environment with a fixed spatial layout. With experience, animals increasingly directed choices toward yet-unvisited locations, largely accounted for by the consolidation of a stable transition scaffold, alongside sensitivity to the current depletion state within each foraging episode. This scaffold organized navigation at multiple scales: local transitions became increasingly reliable; complete visitation sequences remained variable, reflecting flexible recombination of local transitions; and the current location predicted visits over multiple subsequent steps, revealing a state-dependent multi-step predictive organization that became increasingly consistent with experience. Together, these findings provide behavioral evidence that multi-scale spatial organization can emerge with repeated foraging experience in freely moving marmosets, and establish a longitudinal, semi-naturalistic behavioral and analytical framework for relating ecological foraging behavior to theoretical and computational accounts of spatial cognition.

Indexed as

common marmosetdepletion-based foragingmulti-scale spatial organizationsemi-naturalistic behaviorspatial cognitionspatial navigationsuccessor representation

Identifiers

PMID42699299
PMCPMC13544335

What OpenQuestion holds

Textmetadata
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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.