MEG of Somatosensory Neocortex (Jones et al. 2007)

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Accession:113732
"... 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."
Reference:
1 . Jones SR, Pritchett DL, Stufflebeam SM, Hamalainen M, Moore CI (2007) Neural correlates of tactile detection: a combined magnetoencephalography and biophysically based computational modeling study. J Neurosci 27:10751-64 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s): Neocortex V1 L6 pyramidal corticothalamic cell; Neocortex U1 L2/6 pyramidal intratelencephalic cell;
Channel(s): I T low threshold; I K; I M; I K,Ca; I Sodium; I Calcium; I R;
Gap Junctions:
Receptor(s): GabaA; GabaB; AMPA; NMDA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Magnetoencephalography; Touch;
Implementer(s): Sikora, Michael [Sikora at umn.edu];
Search NeuronDB for information about:  Neocortex V1 L6 pyramidal corticothalamic cell; Neocortex U1 L2/6 pyramidal intratelencephalic cell; GabaA; GabaB; AMPA; NMDA; I T low threshold; I K; I M; I K,Ca; I Sodium; I Calcium; I R; Gaba; Glutamate;
TITLE  H-current that uses Na ions

NEURON {
	SUFFIX h
        RANGE  gbar,vhalf, K, taun, ninf, g  
	USEION na READ ena WRITE ina      
:	NONSPECIFIC_CURRENT i
}

UNITS {
	(um) = (micrometer)
	(mA) = (milliamp)
	(uA) = (microamp)
	(mV) = (millivolt)
	(pmho) = (picomho)
	(mmho) = (millimho)
}

INDEPENDENT {t FROM 0 TO 1 WITH 100 (ms)}

PARAMETER {              : parameters that can be entered when function is called in cell-setup
        dt             (ms)
	v              (mV)
        ena    = 50    (mV)
        eh     = -10   (mV)
	K      = 8.5   (mV)
	gbar   = 0     (mho/cm2)  : initialize conductance to zero
	vhalf  = -90   (mV)       : half potential
}	


STATE {                : the unknown parameters to be solved in the DEs
	n
}

ASSIGNED {             : parameters needed to solve DE
	ina (mA/cm2)
	ninf
	taun (ms)
	g
}

        


INITIAL {               : initialize the following parameter using states()
	states()	
	n = ninf
	g = gbar*n
	ina = g*(v-eh)
}


BREAKPOINT {
	SOLVE h METHOD derivimplicit
	g = gbar*n
	ina = g*(v-eh)  
}

DERIVATIVE h {
	states()
        n' = (ninf - n)/taun
}

PROCEDURE states() {  
 
 	if (v > -30) {
	   taun = 1
	} else {
           taun = 2*(1/(exp((v+145)/-17.5)+exp((v+16.8)/16.5)) + 5) :h activation tau

	}  
         ninf = 1 - (1 / (1 + exp((vhalf - v)/K)))                  :steady state value
}




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