Hippocampal basket cell gap junction network dynamics (Saraga et al. 2006)

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Accession:114047
2 cell network of hippocampal basket cells connected by gap junctions. Paper explores how distal gap junctions and active dendrites can tune network dynamics.
Reference:
1 . Saraga F, Ng L, Skinner FK (2006) Distal gap junctions and active dendrites can tune network dynamics. J Neurophysiol 95:1669-82 [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): Hippocampus CA1 basket cell; Abstract Wang-Buzsaki neuron;
Channel(s): I Na,t; I K;
Gap Junctions: Gap junctions;
Receptor(s):
Gene(s):
Transmitter(s): Gaba;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Oscillations; Active Dendrites; Action Potentials; Electrotonus; Delay;
Implementer(s): Saraga, Fernanda [Fernanda.Saraga at utoronto.ca];
Search NeuronDB for information about:  I Na,t; I K; Gaba;
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Basketcell
README.HTML
gap.mod
hh.mod
cella.hoc
cellb.hoc
default_init.hoc
extras.hoc
fig6.hoc
freq.hoc
gapdist.hoc
gapdist.ses
gapmid.hoc
gapmid.ses
gapprox.hoc
gapprox.ses
init.hoc
initdist.hoc
initmid.hoc
initprox.hoc
maxvalue.hoc
minvalue.hoc
mosinit.hoc *
phaselag.hoc
prog.hoc
screenshot.jpg
state.hoc
state_init0.hoc
state_init1.hoc
xyvalues.hoc
                            
objref g[2]
for i=0,1 g[i] = new gap()
dend3a[1] g[0].loc(0.514706)	/*distal end of a*/
dend3b[1] g[1].loc(0.514706)  /*proximal end of b*/
dend3a[1] g[0].del=1
dend3b[1] g[1].del=1
setpointer g[0].vgap, dend3b[1].v(0.514706)
setpointer g[1].vgap, dend3a[1].v(0.514706)


access somaa
access somab

// run parameters
//tstop=5

// graphical interface appearance
//objref grph
//grph = new Graph()
//grph.size(0,tstop,-80,40)
//grph.addexpr("somaa.v(0.5)",1,1)
//grph.addexpr("somab.v(0.5)",2,1)
//grph.addexpr("somab.v(.001)",3,1)
//grph.addexpr("somab.v(.999)",4,1)


// simulation control

objref stim[2]
for i=0,1 stim[i] = new IClamp()
somaa stim[0].loc(0.5)
somab stim[1].loc(0.5)
stim[0].dur=5
stim[0].amp=.1


//proc run() {
//	for i=0,1 g[i].r=3
//	finitialize(-65)
//
//	grph.begin
//	while ( t < tstop) {
//		grph.plot(t)
//		fadvance()
//	}
//	grph.flush()
//}
	
// run simulation
//run()



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