Mar 9, 2020
Modeling the neural control of movement: performance limitations and data-driven inference
Date: March 9, 2020 |
10:00 am –
Speaker: Shreya Saxena, Columbia University
Location: Mondi Seminar Room 2, Central Building
In the second part of the talk, I will focus on methods for the data-driven inference of the relationships between high-dimensional cortex-wide neural activity and the ensuing behavior. Widefield calcium imaging enables recording of large-scale neural activity across the mouse dorsal cortex. Here, it is critical to demix the recordings into meaningful spatial and temporal components that can be mapped onto well-defined brain regions. To this end, we developed Localized semi-Nonnegative Matrix Factorization (LocaNMF) to extract the activity of different brain regions in individual mice in a data-driven manner. The decomposition obtained by LocaNMF results in interpretable components which are robust across subjects and experimental conditions. We also uncover the relationship of these neural signals to the resulting high-dimensional behavior. I will end by providing insights into how we can leverage theoretical analyses as well as data-driven models of large-scale cortical activity to restore impaired movements due to compromised neural transmission.