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Welcome to PLOS Computational Biology

May 15, 2026

Welcome to PLOS Computational Biology

    

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Remembering Phil Bourne

We’re deeply grateful for Phil Bourne’s pivotal role in shaping the journal as the founding Editor-in-Chief and for his continued contributions as the creator and writer of many Ten Simple Rules articles the past 20 years.

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05/13/2026

research article

Art’s hidden topology: A window into human perception

For decades, scientists have tried to understand why certain works of art move us more than others. Yet, directly connecting what is in an image to how it makes us feel has proven elusive. Since shapes and visual patterns play such a central role in both art and how we see the world, the authors explored a new angle: using advanced mathematical tools from topology to reveal hidden structures in images.

Image credit: Dmitruk et al

Art’s hidden topology: A window into human perception

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05/13/2026

research article

A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition

Macroscale brain activity can be captured using techniques like EEG and fMRI. However, the granular or more detailed activity of neurons and localized neural masses is inaccessible. A solution is the use of whole-brain models, as they can simulate EEG and fMRI recordings from mathematical equations and can be fit to empirical data. One limitation in these models is hyperexcitability (over-saturation, or runaway excitation). 

Image credit: Coronel-Oliveros et al

A multi-frequency whole-brain neural mass model with homeostatic feedback inhibition

05/11/2026

Methods

scHilda: Hierarchical Integration of LLM with KG database for single cell type annotation

Cell type annotation in single-cell RNA sequencing is a critical bottleneck, with existing automated methods facing limitations in accuracy, interpretability, and generalization to novel cell types. Although Large Language Models (LLMs) have recently shown potential in single-cell annotation, they are prone to inherent “hallucinations”.

Image credit: Li et al

scHilda: Hierarchical Integration of LLM with KG database for single cell type annotation

03/27/2026

research article

Emergent coexistence and the limits of reductionism in ecological communities

Recent observations have revealed that stable microbial communities contain a high number of species that cannot coexist in pairs, providing new empirical elements to explore this question from a fresh perspective. Using species-rich models of ecological communities with pairwise interactions alone...

Emergent coexistence and the limits of reductionism in ecological communities

Image credit: Matthew Schwartz

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PLOS Computational Biology | ISSN: 1553-7358 (online)