Sophisticated decision-making mechanisms and complex experimental paradigms can be modeled, simulated, and fit to empirical response time data, using a flexible and efficient computational modeling framework.

First influenza infections determine susceptibility to future seasonal influenza infection throughout life, and may impact vaccine effectiveness.

In a mouse model of neurodegeneration, hippocampal firing sequences that normally encode spatial memories become disengaged from external space.

A mathematical model of blood-stage infection with Plasmodium falciparum malaria capturing the sexual stage of the parasite life-cycle is validated against human data, providing new insight into human-to-mosquito transmission.

Random fluctuations in neuronal firing may enable a single brain region, the medial entorhinal cortex, to perform distinct roles in cognition (by generating gamma waves) and spatial navigation (by producing a grid cell map).

New hybrid structure determination methods leveraging the inherent biophysical properties of a macromolecule through molecular dynamics simulations provide accurate and cost-efficient ways of achieving atomic structures from high resolution cryo-electron density maps.

Spontaneous theta oscillations and interneuron-specific phase preferences emerge spontaneously in a full-scale model of the isolated hippocampal CA1 subfield, corroborating and extending recent experimental findings.

Dopamine attenuates exploration during decision-making via a reduction of neural tracking of uncertainty.

Set size effects in visual working memory are explained as a resource-rational trade-off between an error-based behavioral cost and a neural encoding cost.

Computer simulations show that the firing patterns of branched touch receptors can be set in part by the organization of their sensory endings in the skin.