7 citations · 7 across the 2 of their papers we have counts for
2 papers
stat.ME2023
Functional Connectivity: Continuous-Time Latent Factor Models for Neural Spike Trains
Meixi Chen, Martin Lysy, David Moorman +1
Modelling the dynamics of interactions in a neuronal ensemble is an important problem in functional connectivity research. One popular framework is latent factor models (LFMs), whi…
stat.AP2013★ 7 cited
A Semiparametric Bayesian Model for Detecting Synchrony Among Multiple Neurons
Babak Shahbaba, Bo Zhou, Shiwei Lan +3
We propose a scalable semiparametric Bayesian model to capture dependencies among multiple neurons by detecting their co-firing (possibly with some lag time) patterns over time. Af…