"... To make a direct and principled connection between the SI (somatosensory primary neocortex magnetoencephalography) waveform and underlying neural dynamics, we developed a biophysically realistic computational SI model that contained excitatory and inhibitory neurons in supragranular and infragranular layers. ... our model provides a biophysically realistic solution to the MEG signal and can predict the electrophysiological correlates of human perception."
Model Type: Realistic Network
Simulation Environment: NEURON
Implementer(s): Sikora, Michael [Sikora at umn.edu]
Jones SR, Pritchett DL, Stufflebeam SM, Hämäläinen M, Moore CI. (2007). Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study. The Journal of neuroscience : the official journal of the Society for Neuroscience. 27 [PubMed]