The aged human auditory cortex shows preserved tonotopy, but temporal modulations are represented with a markedly broader tuning, highlighting decreased temporal selectivity as a hallmark of the aging auditory cortex.
A comprehensive, data-driven and interpretable nonlinear computational modeling framework based on deep neural networks uncovers different nonlinear transformations of speech signal in the human auditory cortex.
Hyperalignment provides a conceptual framework for cortical architecture that captures how shared information is encoded in idiosyncratic cortical topographies that preserve vector geometry for population response and connectivity patterns.
When coupling between STN spikes and cortical gamma oscillations was strong, subsequent movement was initiated earlier, independent of changes in mean firing rates, demonstrating the importance of relative spike timing.
An implantable device based on organic electrochemical transistors is developed for quantitative mapping of neurotransmitter release across multiple brain regions, revealing a cross-talk between the mesolimbic and nigrostriatal dopaminergic pathways.