Browse our latest Computational and Systems Biology articles

Mathematical modelling and large-scale online experiments revealed that learning from others can induce 'smarter' decisions even when most individuals are biased towards adverse risk aversion.

A cortical model inspired by cognitive theories and deep learning demonstrates how the combination of wakefulness, non-rapid eye movement (NREM), and REM dreams leads to the emergence of robust and semantically organized neuronal representations in higher cortical areas.

In developing neural cell cultures, information flows lock-in early and nodes undertake specialised computational roles.

Chromosomal instability of cancer can be quantitatively measured by phylogenetic analysis of 200 tumor cells while using evolutionary principles to account for cellular selection.

Single-molecule sequencing and mating experiments in yeast reveal key properties of mitochondrial DNA dynamics that inform the fate of mutant mtDNA in cells.

A method enabling identification of more than 100 RNA modifications in single ribosomal RNA molecules uncovers new classes of modified ribosomes.

A parametrization-invariant synaptic plasticity rule based on natural-gradient descent leads to multiple predictions for the biological plasticity process, some of which relate to well-studied phenomena such as heterosynaptic plasticity.

A calcium-based mechanism of neural recruitment offers a biophysical framework that unifies recent findings on respiratory rhythm generation and pattern formation by the circuitry within the brainstem.

compaRe can be used to optimize cytometric high-parameter immunophenotypic characterization of heterogeneous cell populations.

Tailoring Boolean models to 488 prostate cancer patients and 8 cell lines data allows for the experimentally validated personalisation of drug treatments.