Browse our latest Computational and Systems Biology articles

Building on previous work (Drugowitsch et al., 2014), it is shown that decision-makers adjust their speed-accuracy trade-off flexibly from one moment to the next, based on evidence available from multiple sensory modalities, in order to nearly maximize their reward rate.

Computational modelling shows that coupled theta and gamma oscillations in the auditory cortex can decompose speech into its syllabic constituents, and organize the neural spiking at faster timescale into a decodable format.

In-lab evolution of synthetic promoters has revealed a novel general mechanism for de novo evolution of gene regulation, and highlights the crucial role of expression noise in this process.

A computational model for the control of chemotaxis in the Drosophila larva clarifies the link between the peripheral encoding of naturalistic olfactory stimuli and action selection.

The ability of cells to transmit information encoded in signaling dynamics is fundamentally limited by the gene decoding step.

Mathematical analysis confirms that hexagonal patterns of neuronal activity are the most efficient means for the brain to represent 2D space, and predicts that activity patterns resembling densely packed lattices are optimal for representing 3D space.

PDGF and FGF signal via distinct intracellular pathways to confer different cellular outcomes during craniofacial development.

Simulations of the biological function of an antifreeze protein reveal its molecular interactions with the ice/water interface.

A chemical biology approach has identified the kinase DYRK1A as a new regulator of the inflammatory response.