Regional differences in activator and inhibitor signals alter hair cycle pace across mouse skin and produce unique fur renewal 'landscapes', with fastest renewal on the ventrum and slowest renewal on the ear pinnae.
Hybrid brain network models predict neurophysiological processes that link structural and functional empirical data across scales and modalities in order to better understand neural information processing and its relation to brain function.
In vivo quantitative analysis of multi-shell diffusion MRI reveals novel insights into microstructure of human insular cortex and its functional circuits associated with the salience network and cognitive control.
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.
Single cell expression data can be used to determine how regulatory transcription factors and target genes are connected, and is especially useful when studying transcription factors controlling heterogeneous cell states.
The asymptomatic colonization and importation of methicillin-resistant Staphylococcus aureus (MRSA) in hospital settings can be inferred from observed cases using combined model-inference methods and used to inform improved interventions.
The powerful computational operation of sequence recognition on behavioral timescales of approximately 1 s may emerge from synaptic activity-triggered build-up of biochemical waves in short 20 micron zones on dendrites.