Local variable time step method (Lytton, Hines 2005)

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Accession:33975
The local variable time-step method utilizes separate variable step integrators for individual neurons in the network. It is most suitable for medium size networks in which average synaptic input intervals to a single cell are much greater than a fixed step dt.
Reference:
1 . Lytton WW, Hines ML (2005) Independent variable time-step integration of individual neurons for network simulations. Neural Comput 17:903-21 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type:
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Methods;
Implementer(s): Hines, Michael [Michael.Hines at Yale.edu];
objectvar save_window_, rvp_
objectvar scene_vector_[9]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{
save_window_ = new Graph(0)
save_window_.size(0,30,-80,40)
scene_vector_[5] = save_window_
{save_window_.view(0, -80, 30, 120, 843, 25, 300.48, 200.32)}
graphList[0].append(save_window_)
save_window_.save_name("graphList[0].")
save_window_.addvar("C_Cell[14].soma.v( 0.5 )", 1, 1, 0.8, 0.9, 2)
}

//Begin VecWrap[0]
{
load_file("vecwrap.hoc")
}
{
ocbox_=new VecWrap(1)
}
{object_push(ocbox_)}
vy = new Vector(3001)
vx = new Vector(3001)
vy.label("INT[14].soma.v(.5)")
for i=0,3000 { vx.x[i]=fscan() vy.x[i]=fscan()}
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input(vx, vy)
{object_pop()}
{
{
save_window_=ocbox_.g
save_window_.size(0,30,-67,28)
scene_vector_[6] = save_window_
ocbox_.g = save_window_
save_window_.save_name("ocbox_.g")
}
ocbox_ = ocbox_.b
ocbox_.map("VecWrap[0]", 840, 293, 308.16, 261.12)
}
objref ocbox_
//End VecWrap[0]


//Begin VecWrap[1]
{
load_file("vecwrap.hoc")
}
{
ocbox_=new VecWrap(1)
}
{object_push(ocbox_)}
vy = new Vector(3001)
vx = new Vector(3001)
vy.label("INT[0].vp.object(13).s")
for i=0,3000 { vx.x[i]=fscan() vy.x[i]=fscan()}
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26.925 0.490173
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29.945 0.362403
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30.005 0.360236
input(vx, vy)
{object_pop()}
{
{
save_window_=ocbox_.g
save_window_.size(0,31,0,0.99)
scene_vector_[7] = save_window_
ocbox_.g = save_window_
save_window_.save_name("ocbox_.g")
}
ocbox_ = ocbox_.b
ocbox_.map("VecWrap[1]", 840, 595, 308.16, 261.12)
}
objref ocbox_
//End VecWrap[1]

{
save_window_ = new Graph(0)
save_window_.size(0,30,0,1)
scene_vector_[8] = save_window_
{save_window_.view(0, 0, 30, 1, 504, 596, 300.48, 200.32)}
graphList[1].append(save_window_)
save_window_.save_name("graphList[1].")
save_window_.addvar("GABAA[15].g", 1, 1, 0.391054, 0.923962, 2)
}
objectvar scene_vector_[1]
{doNotify()}

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