Browse our latest Computational and Systems Biology articles

To isolate and study proprioception, hierarchical deep neural networks paired with biomechanical models provide a normative approach to test the role of task effects on neural representations, such as the emergence of kinematic tuning and higher-level abstractions of actions.

The regulation of gene expression can be either binary (on/off digital regulation) or graded (analog regulation) and these fundamentally different regulatory modes can be integrated to control the expression of the same gene.

Investigating microbial communities in a spatial environment in silico suggests that spatial structure promotes higher coexistence by allowing spatial self-organization, but can hinder coexistence by weakening interactions mediated through diffusible metabolites.

Among European children, shorter telomere length and older DNA methylation age relative to chronological age were associated with poorer behaviors, while older age, as predicted by a novel immunometabolic clock relative to chronological age, was associated with greater cognitive maturity.

Mathematical methods reveal common underlying principles in diverse models of intracellular actin waves.

Local disinhibition provides a biologically plausible mechanism for flexible top-down control of network states that integrates normalized value coding, winner-take-all choice, and persistent activity in a single circuit of decision-making.

Model identification of neural encoding is an accessible system for the analysis of neural data that allows identifying and characterizing arbitrary relationships between neural activity and task-related variables such as behavior, stimuli, or internal states.

A fast and accurate decision-making strategy observed in bees, and reproduced in a neurally-grounded model, suggests a robust, risk-averse decision strategy suitable for when sampling and errors are both costly.

Computational reaction representations and profile hidden Markov model searches of metagenomics databases can be harnessed to accurately predict bacterial species and enzyme sequences responsible for biotransformations in the human gut microbiome.

Mathematical and experimental characterization of DUX4 expression dynamics in facioscapulohumeral muscular dystrophy muscle fibers, provides insights into pathology and open-source tools for in silico investigation of anti-DUX4 therapy.