Research Research Projects

Brain networks: Inferring cortical microcircuitry with electrophysiology

Existing technology cannot directly measure the synaptic connectivity between individual brain cells in an awake, behaving mammals. Nevertheless, the spiking electrical activity of ensembles of brain cells provides an indirect signal for measuring properties of this connectivity. In collaboration with researchers at CUNY and NYU, this project explores novel statistical tools for inferring synaptic connectivity from electrophysiological data. 

Research Leads: 

Matthew T Harrison

Funding Sources: 

NIH, NSF