Topic: SPM toolbox

Dynamic Causal Modeling (DCM) is commonly used for identifying neural circuit models from neuroimaging data to deduce causal neural interactions (Penny et al., 2011). Although previous studies have applied DCM to decision-making tasks, it is unclear whether DCM can reveal multistable dynamic states associated with choices (Wong and Wang, 2006). Here, we developed a two-column cortical fully self-feedback neural mass model (FSM) comprising two excitatory and one inhibitory neural populations, and inputs to both inhibitory and excitatory populations (Roach et al., 2023) with lateral connections