Context factors such as experimental task and model parameterization can significantly impact modeling results, such that across tasks, the same participants show different fitted parameter values, and parameters capture different cognitive processes across tasks.

A biophysical cortical circuit model reveals how thalamic inputs mediate complex dynamics in the frontal eye fields and lateral intraparietal area, enabling rhythmic enhancements in visual sensitivity observed behaviorally.

A computational and translational approach to measuring anxiety-related behaviour was validated in two large independent samples, presenting opportunities for cross-species anxiety research and potential implications for anxiolytic drug development.

In models reconstructed from MRI scans of patients with embolic stroke of undetermined source, computational simulations reveal that fibrosis has the intrinsic capacity to sustain arrhythmia drivers when subjected to triggered activity known to exist in patients with atrial fibrillation.

Computational modeling motivated by recent experiments clarifies biophysical mechanisms generating the rhythm and amplitude of breathing at the level of neurons and brain circuits in mammals.

The contribution of biophysical ion channels to neuron function can be predicted by taking advantage of an ongoing dialogue between model and experiment.

Personalized virtual-heart technology for arrhythmia risk assessment could transform the management of hypertrophic cardiomyopathy patients, eliminating many unnecessary primary-prevention defibrillator deployments while ensuring patients at high risk for arrhythmia are adequately protected.

An oscillating computational model combined with a predictive internal linguistic model can track naturally timed speech in which pseudo-rhythmicity is related to the predictability of words within their sentence context.

Electrophysiological recordings and a large-scale biophysical model show that a unique inhibitory neuron plays a central role in structuring olfactory codes in the insect brain.

An anatomically constrained computational model of the macaque cortical network demonstrates the emergence of large-scale distributed patterns of mnemonic activity sustained by long-range cortico-cortical interactions.