Mechanisms of fast rhythmic bursting in a layer 2/3 cortical neuron (Traub et al 2003)

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Accession:20756
This simulation is based on the reference paper listed below. This port was made by Roger D Traub and Maciej T Lazarewicz (mlazarew at seas.upenn.edu) Thanks to Ashlen P Reid for help with porting a morphology of the cell.
Reference:
1 . Traub RD, Buhl EH, Gloveli T, Whittington MA (2003) Fast rhythmic bursting can be induced in layer 2/3 cortical neurons by enhancing persistent Na+ conductance or by blocking BK channels. J Neurophysiol 89:909-21 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex L2/3 pyramidal GLU cell;
Channel(s): I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h; I K,Ca; I Sodium; I Calcium; I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Bursting; Active Dendrites; Detailed Neuronal Models; Axonal Action Potentials; Calcium dynamics;
Implementer(s): Lazarewicz, Maciej [mlazarew at gmu.edu]; Traub, Roger D [rtraub at us.ibm.com];
Search NeuronDB for information about:  Neocortex L2/3 pyramidal GLU cell; I Na,p; I Na,t; I L high threshold; I T low threshold; I A; I K; I h; I K,Ca; I Sodium; I Calcium; I Potassium; 
/*

This port was made from the FORTRAN code into the NEURON enviroment based on 

	Traub RD, Buhl EH, Gloveli T, Whittington MA. Fast Rhythmic Bursting Can Be Induced in Layer 2/3 Cortical Neurons by Enhancing Persistent Na(+) Conductance or by Blocking BK Channels.J Neurophysiol. 2003 Feb;89(2):909-21

This port was made by Roger D Traub and Maciej Lazarewicz (mlazarew@seas.upenn.edu)

Thanks to Ashlen P Reid for help with porting a morphology of the cell.

*/

proc setFig2() {
	graphList[0].remove_all()
	xopen("fig2.ses")
	tstop = 1000
}

proc setFig4() {
	graphList[0].remove_all()
	xopen("fig4.ses")
	tstop = 450
}

proc setFig5() {
	graphList[0].remove_all()
	xopen("fig5.ses")
	tstop = 1200
}

proc setFig6() {
	graphList[0].remove_all()
	xopen("fig5.ses")
	tstop = 1200
}

proc setFig7() {
	graphList[0].remove_all()
	xopen("fig4.ses")
	tstop = 450
}

load_file("pyr3_template")

objref pyr3_

dt     		= 0.025 // Simulation are producion proper results even with time step 25 us
steps_per_ms 	= 40

tstop  		= 1000
v_init 		= -70

xpanel("Traub RD 2003 Cortical Pyramidal Neuron Layer 2/3")
	xbutton("Figure 2 ( left )", " pyr3_ = new pyr3( 21 ) setFig2() run()" )
	xbutton("Figure 2 ( right )", " pyr3_ = new pyr3( 22 ) setFig2() run()" )
	xbutton("Figure 4 Injection 2.5 nA", " pyr3_ = new pyr3( 41 ) setFig4() run()" )
	xbutton("Figure 4 Injection 1.5 nA", " pyr3_ = new pyr3( 42 ) setFig4() run()" )
	xbutton("Figure 4 Injection 1.1 nA", " pyr3_ = new pyr3( 43 ) setFig4() run()" )
	xbutton("Figure 4 Injection 0.6 nA", " pyr3_ = new pyr3( 44 ) setFig4() run()" )
	xbutton("Figure 5 B1", " pyr3_ = new pyr3( 51 ) setFig5() run() " )
	xbutton("Figure 5 B2", " pyr3_ = new pyr3( 52 ) setFig5() run()" )
	xbutton("Figure 6 B1", " pyr3_ = new pyr3( 61 ) setFig6() run()" )
	xbutton("Figure 6 B2", " pyr3_ = new pyr3( 62 ) setFig6() run()" )
	xbutton("Figure 7 g_NaP x 0.0", " pyr3_ = new pyr3( 71 ) setFig7() run()" )
	xbutton("Figure 7 g_NaP x 0.7", " pyr3_ = new pyr3( 72 ) setFig7() run()" )
	xbutton("Figure 7 g_NaP x 1.0", " pyr3_ = new pyr3( 73 ) setFig7() run()" )
xpanel(6,105)