A spiking network model that examines the transformation of odor information from olfactory bulb to piriform cortex demonstrates how intrinsic cortical circuitry preserves representations of odor identity across odorant concentrations.
Inducing neuronal mitochondrial activity during central nervous system inflammation counteracts inflammation-induced neuronal electron transport chain deficiency and calcium toxicity, thereby protecting against neuronal loss in a multiple sclerosis mouse model.
CytofRUV is a computational algorithm that effectively enables batch effect reduction in multiple CyTOF batches with an adaptable normalisation method and an R-Shiny application with diagnostics plots.
A novel method predicts cancer and immune cell types from bulk tumor gene expression data with the ability to consider uncharacterized and possibly highly variable cell types, which is validated in human genome.
The evidence of subspace computation in the lateral prefrontal cortex provides insights into the neural mechanisms underlying cognitive flexibility and interference between different cognitive processes.
The fruit fly estimates visual motion by incorporating ON-OFF asymmetric processing that only improves performance when stimuli have light-dark asymmetries matched to natural scenes.
Computational modeling of the brain’s navigation system reveals that place cells can drive the formation of hexagonal patterns experimentally observed in grid cells activity.
To generate stable and robust connectivity refinements, the amplitude of spontaneous activity events in the developing visual cortex adapts to the recent history of cortical activation.
Mathematical and experimental analyses suggest that despite their complex architectures, multiple metazoan signaling pathways act in physiological contexts as linear signal transmitters.
