Browse our latest Computational and Systems Biology articles

Heterogeneity in the population of granule cells in the dentate gyrus, which includes immature and mature neurons with distinct intrinsic properties, contributes to the population's enhanced encoding capabilities and ability to discriminate correlated stimuli.

Deciphering the dynamics of the allosteric communication and the formation of transient pockets along the activation pathway of G-protein-coupled receptors provides useful information for the design of allosteric modulators.

Volume electron-microscopic reconstructions of auditory brainstem neurons and their afferent synapses were used to develop a pipeline creating biophysically defined computational models with heterogenous inputs, revealing roles for subthreshold synapses to enhance temporal processing unique features of their dendrites.

A computational model of glutamatergic synapse uncovers a new plasticity rule which takes into account the various experimental conditions.

A biophysically detailed model of mouse primary visual cortex reproduces, in a quantitative manner, experimentally recorded spikes and local field potentials, and suggests mechanisms that form current sinks and sources in vivo.

Challenging a popular theory in neuroeconomics, a computational cognitive study provides evidence against divisive normalization, a supposedly canonical neural computation, in favor of an alternative account, range normalization, in the context of value learning.

The BABY algorithm by estimating growth rates of individual cells from time-lapse microscopy images will help characterise the diversity in populations of budding cells, particularly differences in fitness.

Intercellular interactions between fibrocytes and CD8⁺ T lymphocytes promote inflammation through a pathophysiological positive feedback loop in bronchi of patients with chronic obstructive pulmonary disease (COPD).

A pharmacological approach for the validation of systems genetics data in the context of insulin resistance.