Browse our latest Computational and Systems Biology articles

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.

An experimental and computational system has been developed to investigate how wavelike gene expression patterns are generated during embryonic development.

Modeling the dynamics of immunological synapses informs pharmacodynamics and treatment resistance to bispecific T cell engagers.

Proteins locked into the immature HIV lattice can exploit its incomplete structure to form the essential protease dimer needed for viral maturation.

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.