Evidence map›Paper›PMID 39972140›Full record

ArticleNature2025

Global modules robustly emerge from local interactions and smooth gradients.

Mikail Khona, Sarthak Chandra, Ila Fiete

Abstract read
PubMed Publisher
In one paragraph

Article in Nature, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. A simple model of co-emergence of grid and place fields.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Article
  7. Review
  8. Review
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

3 authors.

Mikail Khona *Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA.
Sarthak Chandra *Department of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA. sarthakc@mit.edu.ORCID 0000-0002-3047-8334
Ila FieteDepartment of Brain and Cognitive Sciences, MIT, Cambridge, MA, USA. fiete@mit.edu.ORCID 0000-0003-4738-2539

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Modular structure and function are ubiquitous in biology, from the organization of animal brains and bodies to the scale of ecosystems. However, the mechanisms of modularity emergence from non-modular precursors remain unclear. Here we introduce the principle of peak selection, a process by which purely local interactions and smooth gradients can drive the self-organization of discrete global modules. The process combines strengths of the positional and Turing pattern-formation mechanisms into a model for morphogenesis. Applied to the grid-cell system of the brain, peak selection results in the self-organization of functionally distinct modules with discretely spaced spatial periods. Applied to ecological systems, it results in discrete multispecies niches and synchronous spawning across geographically distributed coral colonies. The process exhibits self-scaling with system size and 'topological robustness'

Indexed as

BrainModels, BiologicalMorphogenesisAnimalsAnthozoaEcosystemGrid Cells

Identifiers

What OpenQuestion holds

Textmetadata
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.