"... 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
Cell Type(s): Neocortex L5/6 pyramidal GLU cell; Neocortex U1 L2/6 pyramidal intratelencephalic GLU cell
Currents: I T low threshold; I K; I M; I K,Ca; I Sodium; I Calcium; I R
Receptors: GabaA; GabaB; AMPA; NMDA
Model Concept(s): Magnetoencephalography; Touch
Simulation Environment: NEURON
Implementer(s): Sikora, Michael [Sikora at umn.edu]
References:
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]