Improved estimation of latent variable models from calcium imaging data
David Zoltowski, Adam Charles, Jonathan W. Pillow, Stephen Keeley · COSYNE 2023
Calcium imaging (CI) has emerged as a prominent method for recording neural population activity. Therefore, CI recordings are prime candidates for the application of latent variable models designed to identify latent neural states and dynamics. However, in CI experiments spiking events are measured only indirectly via calcium ions that rapidly enter a cell during action potentials and then slowly seep back out. To analyze CI data, per-neuron fluorescence time-traces are typically either de-convolved to approximate spiking events or analyzed directly. The former approach, although enabling many
Fri, Mar 10, 2023