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. Author manuscript; available in PMC: 2020 Jul 8.
Published in final edited form as: Neuroimage. 2018 Aug 18;181:818–830. doi: 10.1016/j.neuroimage.2018.08.039

Table 2. Currently available neural mass and field models in DCM.

Acronym Full name Type Specifics Reference
ERP Event-Related Potential Convolution/Neural Mass Original model with 3 cell populations David and Friston, 2003
SEP Sensory-Evoked Potential Convolution/Neural Mass Faster version of the ERP model David and Friston, 2003
LFP Local Field Potential Convolution/Neural Mass ERP model with recurrent inhibitory connections for modelling gamma oscillations Moran et al., 2007
CMC Canonical Microcircuit Convolution/Neural Mass 4-population model with separate supra-and infragranular pyramidal cell populations Bastos et al., 2012; Auksztulewicz and Friston, 2015
MMC Motor Microcircuit Convolution/Neural Mass 4-population model based on motor cortex anatomy Bhatt et al., 2016
BGT Basal Ganglia and Thalamus Convolution/Neural Mass Subcortical model including 4 basal ganglia structures and thalamus Marreiros et al., 2013; Moran et al., 2011a
NFM Neural Field Model Convolution/Neural Field 3-population model with spatiotemporal dynamics Pinotsis et al., 2012
NMM Neural Mass Model Conductance/Neural Mass Conductance-based version of the ERP model Marreiros et al., 2009; 2010
MFM Mean Field Model Conductance/Mean Field Conductance-based version of the ERP model with second order statistics Marreiros et al., 2009; 2010
NMDA Mean Field Model with NMDA receptor Conductance/Mean Field Conductance-based version of the ERP model with NMDA receptor and second order statistics Moran et al., 2011b
CMM Canonical Mean Field Model Conductance/Mean Field Conductance-based version of the CMC model with second order statistics
CMM_NMDA Canonical Mean Field Model with NMDA receptor Conductance/Mean Field Conductance-based version of the CMC model with NMDA receptor and second order statistics