Brain Networks: Inferring Cortical Microcircuitry with Electrophysiology

ABSTRACT:

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 LEAD:

Matthew Harrison, Associate Professor in the Division of Applied Mathematics at Brown University

Funding Sources: 

NIH, NSF