Pet1 neurons actively maintain cardiorespiratory tone and dynamic range in mouse neonates and critically support the recovery response to apneas, informing brain findings in the sudden infant death syndrome.
Temporally delayed linear modelling provides a domain-general linear framework for sequence detection and statistical testing, and is able to detect replays in both human neuroimaging and animal electrophysiology.
Realistic reaction-diffusion signaling networks that include cell-autonomous factors can robustly form self-organizing spatial patterns for any combination of diffusion coefficients without requiring differential diffusivity.
A stochastic model of phyllotaxis can explain the striking irregularities observed in the spiral patterns of plants and predicts that perturbation patterns provide key information about the underlying biochemical mechanisms.
In a consumer-resource model obeying the physical requirement of flux conservation, metabolic competition between microbes yields consortia of cell types that collectively resist invasion via optimal use of resources.
In a minimalistic, generic model of competitive communities in which evolution is constrained by life-history trade-offs, stable biodiversity emerges with species adapted to different functional niches.
A new computational framework provides a flexible and general approach for single and collective biological motion characterisation and phenotyping ideally suited for high-throughput timelapse screens.