ePoster · Neuroscience
A Bayesian hierarchical latent variable model for spike train data analysis
Josefina Correa Menendez, Earl Miller, Emery Brown · COSYNE 2023
Sun, Mar 12, 2023
A common approach to analyzing spike train data in stimulus-response experiments is to estimate spike rates relative to the stimulus onset. These experiments typically involve collecting measurements from the same subject across several trials and sessions, and performing the same experiment across multiple subjects. Accounting for these sources of variability is important to accurately estimate the population response. However, current spike rate estimation methods only allow for estimating trial-level, session-level or group-level spike rates, neglecting the variability between levels. We de