Editorial - Journal of Neuroinformatics and Neuroimaging (2021) Volume 6, Issue 3
Inference from causal networks for neural ensemble activity.
The interactions between cellular components that make up a mesoscopic size brain network (microcircuit) exhibit distinct neural dynamics. Microcircuit analysis gives system-level knowledge of health and disease neurobiology. The goal of causal discovery is to find causal connections between variables using observational data. The large dimensionality of the variable space is a major impediment to causal discovery. To reconstruct causal networks using calcium imaging or electrophysiological time series, a technique dubbed Causal Inference for Microcircuits (CAIM) has been suggested. CAIM integrates neural recording, Bayesian network modelling, and neuron grouping into a single algorithm.Author(s): Shawn Kruger*