Emergent property inference, a novel machine learning methodology, learns distributions of neural circuit model parameters that produce computational properties and provides novel scientific insight through the quantification of the rich parametric structure it captures.
A combined developmental genetics, electrophysiology, and optical approach identify two distinct and dynamic components of the developing neuronal circuit that relay and interpret thalamic input in primary sensory neocortex.
A data-reduced neuro-behavioral geometry in psychosis spectrum disorders mapped symptoms stably on to distinct functional brain regions and offers a framework for informing personalized treatment selection decisions.
Analysis of AnkyrinR conditional knockout mice shows that AnkyrinR regulates PV+ fast-spiking interneurons by organizing and maintaining perineuronal nets and through the membrane clustering of Kv3.1b K+ channels.
A fast spiking interneuron sub-type in medial and lateral prefrontal cortex fires and gamma-synchronizes prominently during adaptive learning of reward values when outcomes are uncertain and choice options have similar values.