Statistical Physics of Nonstationary Long-Range Correlated Neural Time Series

SPRING 2017 RESEARCH INCUBATION AWARDEES 

PI: Gene Stanley, Physics, Chemistry, Biomedical Engineering and Physiology (CAS, ENG & MED)
Co-PIs: Marc Howard, Psychological & Brain Sciences, CAS; Howard Eichenbaum, Psychological & Brain Sciences, CAS

This project aims to study neural time series in a wide range of animal models and brain regions using sophisticated methods from statistical physics. It will use an extensive existing database of single-unit recordings and collect a new dataset using two-photon microscopy to measure neural activation over long time scales – a technique which is not yet in wide use. This research will aid in understanding the computational function of the brain, one of the most important open problems in science while solving this problem will have immense technological implications and shed light on disciplines that rely on human intelligence, including education, medicine, and economics.

This work is funded by a Hariri Research Award made in January, 2017.