Neural correlates of somatosensory target detection are restricted to secondary somatosensory cortex, whereas activity in insular, cingulate, and motor regions reflects stimulus uncertainty and overt reports.
Application of machine learning to serum miRNA profiles generated through next generation sequencing identifies a biologically relevant miRNA signature which can be deployed as a qPCR test to assist the diagnosis of epithelial ovarian cancer.
The genomic architecture of allopatric species is a mosaic of many conserved genes and a few adaptive ones, reflecting balance between conservation of ancestral functions and evolution of new features.
Connectomic analysis identifies the complex circuits of a visual motion-sensing neuron that qualify them to generate direction-selective motion sensing signals using both Hassenstein-Reichardt and Barlow-Levick models.
The substrate for evolutionary divergence does not lie in changes in neuronal cell number or targeting, but rather in sensory perception and synaptic partner choice within invariant, prepatterned neuronal processes.