Thursday, May 3, 2018 - 12:00pm to 1:00pm
Neurological Institute Alumni Auditorium
Neural circuitry represents sensory input with patterns of activity within populations of individual neurons. These representations are transformed across brain areas into representations that drive adaptive behavior. The circuitry across which transformations occur often extend over many millimeters: the mesoscale level or organization. Imaging at the mesoscale with micron resolution, deep in brain tissue that badly scatters light, with subsecond time resolution is a challenging optical problem. Here, we used new multiphoton imaging technology to measure representations across multiple visual cortical areas simultaneously in mice. By measuring shared variability for pairs of neurons within or across cortical areas, we obtained measurements of correlational structure, which can constrain models of circuit connectivity and mechanisms for transforming neural representations. In the course of this work, we also uncovered new principles for the organization of spatiotemporal and orientation tuning among visual cortex neurons. Together, these findings are illuminating how visual stimuli are represented in primary and higher visual areas in mice, and how these areas can be connected to each other.
Dr. Spencer Smith
University of North Carolina at Chapel Hill