Thijs L van der Plas, Jérôme Tubiana ... Georges Debrégeas
A data-driven network model offers an interpretable and physiologically sound description of the whole-brain spontaneous neural activity of zebrafish larvae.
Janine Diane Bijsterbosch, Mark W Woolrich ... Stephen M Smith
Connectivity network matrices, as estimated with masking or dual regression against group-level parcellations, reflect little or no unique cross-subject information that is not also captured by spatial topographical variability.
A new framework for mutation spectrum analysis reveals multiple independent changes in the germline mutation patterns of human populations, which cannot be explained by shifts in average ages at reproduction.
Fast and flexible estimation of effective migration surfaces (FEEMS) is a new statistical method that can quickly infer and visualize patterns of migration from genetic data with spatial coordinates.
Jérôme Dockès, Russell A Poldrack ... Gaël Varoquaux
Full-text analysis of the human brain-imaging literature can predict the spatial distribution of observations in the brain given the description of a subject of study.
Human infants can use various muscle activations as soon as birth to produce rhythmic leg movements, but the strategy underlying this variable output seems to change between the first months of life and toddlerhood.
A novel bilinear modeling approach reveals genetic code of neuronal connectivity, offering insights for targeted genetic interventions in neural circuits.
