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Causal Network Inference for Neural Ensemble Activity
2021
Neuroinformatics
AbstractInteractions among cellular components forming a mesoscopic scale brain network (microcircuit) display characteristic neural dynamics. Analysis of microcircuits provides a system-level understanding of the neurobiology of health and disease. Causal discovery aims to detect causal relationships among variables based on observational data. A key barrier in causal discovery is the high dimensionality of the variable space. A method called Causal Inference for Microcircuits (CAIM) is
doi:10.1007/s12021-020-09505-4
pmid:33393054
fatcat:6tstmuzygfgodeoniwcjcui2di