Browse our latest Computational and Systems Biology articles

A low-dimensional voice latent space derived from deep learning captures speaker-identity representations in the temporal voice areas and supports reconstruction of voices preserving identity information.

Collective frequency-selective resonance in depolarised cardiac tissue enables reversible switching between quiescent and ectopic oscillations through hidden bi-stability, which is shaped by light intensity, illuminated area, and pacing frequency.

The morphogenesis of brain folding patterns across species is studied by physical gel models, simulations, and a quantitative morphometric analysis.

In spontaneous intracerebral hemorrhage patients, features of hematoma expansion can be visualized and predicted from non-contrast computed tomography using transport-based morphometry.

Neural and computational evidence reveals that real-world size is a temporally late, semantically grounded, and hierarchically stable dimension of object representation in both human brains and artificial neural networks.

Analyzing stochastic cell-to-cell variability can potentially reveal causal interactions in gene regulatory networks.

The electrogenic Na⁺/K⁺-ATPase generates a slow activity-dependent feedback signal that influences the computation of excitable cells and requires additional compensatory mechanisms during periods of high sustained activity.

A collaborative open-source platform enabling interactive 3D visualization, quantitative evaluation, and expert curation of complex biological morphologies to enhance the quality and reproducibility of large-scale imaging studies.