2025
Scalable inference of functional neural connectivity at submillisecond timescales
NeurIPS 2025poster
The Poisson Generalized Linear Model (GLM) is a foundational tool for analyzing neural spike train data. However, standard implementations rely on discretizing spike times into binned count data, limiting temporal resolution and scalability. Here, we develop stochastic optimization methods and polyn…