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

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.

Intra-individual variability in choice, response time, subjective effort, confidence, and choice-induced preference change and certainty gain is explained by a cost–benefit model of cognitive resource allocation.

Local disinhibition provides a biologically plausible mechanism for flexible top-down control of network states that integrates normalized value coding, winner-take-all choice, and persistent activity in a single circuit of decision-making.

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.

Whole-brain computational modelling, incorporating novel ML-based parameter estimation techniques, reveals how transcranial magnetic stimulation-evoked brain responses are driven at earlier timepoints by local echoes of the external stimulus, and at later timepoints by large-scale network reverberation across the connectome.

Comparing mice in clean and dirty environments reveals that environment drives initial establishment and size of T cell memory compartments, but not their maintenance in adults.

A computational model of the neuronal network that recognizes mating signals reveals network properties that support and constrain behavioral diversity in a species group.

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

When behavioral outcomes are unfavorable, the brain searches for better outcomes by deliberately increasing its internal variability.