Dendro-dendritic synaptic circuit (Shepherd Brayton 1979)

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Accession:144385
A NEURON simulation has been created to model the passive spread of an EPSP from a mitral cell synapse on a granule cell spine. The EPSP was shown to propagate subthreshold through the dendritic shaft into an adjacent spine with significant amplitude (figure 2B).
Reference:
1 . Shepherd GM, Brayton RK (1979) Computer simulation of a dendrodendritic synaptic circuit for self- and lateral-inhibition in the olfactory bulb. Brain Res 175:377-82 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Dendrite;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Influence of Dendritic Geometry; Olfaction;
Implementer(s): Morse, Tom [Tom.Morse at Yale.edu];
// v_soma_spine_dend.ses
// no longer contains any reference to soma
objectvar all_comps_v_graph, rvp_
objectvar scene_vector_[7]
objectvar ocbox_, ocbox_list_, scene_, scene_list_
{ocbox_list_ = new List()  scene_list_ = new List()}
{
all_comps_v_graph = new Graph(0)
all_comps_v_graph.size(0,15,-80,-40)
scene_vector_[6] = all_comps_v_graph
{all_comps_v_graph.view(0, -80, 15, 40, 411, 311, 300.48, 200.32)}
graphList[0].append(all_comps_v_graph)
topy= 1.00543
deltay=0.009583
all_comps_v_graph.save_name("graphList[0].")
// all_comps_v_graph.addexpr("dendrite.v(0.083333333)",  1, 1, 0.5,topy,  2)
// all_comps_v_graph.addexpr("dendrite.v(0.25)",         2, 1, 0.5, topy-deltay,  2)
// all_comps_v_graph.addexpr("dendrite.v(0.41666667)",   3, 1, 0.5, topy-2*deltay,  2)
// all_comps_v_graph.addexpr("dendrite.v(0.58333333)",   4, 1, 0.5, topy-3*deltay,  2)
// all_comps_v_graph.addexpr("dendrite.v(0.75)",         5, 1, 0.5, topy-4*deltay,  2)
// all_comps_v_graph.addexpr("dendrite.v(0.91666667)",   6, 1, 0.5, topy-5*deltay,  2)
all_comps_v_graph.addexpr("GR_5.v(0.5)",  1, 1, 0.5,topy,  2)
all_comps_v_graph.addexpr("GR_6.v(0.5)",         2, 1, 0.5, topy-deltay,  2)
all_comps_v_graph.addexpr("GR_7.v(0.5)",   3, 1, 0.5, topy-2*deltay,  2)
all_comps_v_graph.addexpr("GR_8.v(0.5)",   4, 1, 0.5, topy-3*deltay,  2)
all_comps_v_graph.addexpr("GR_9.v(0.5)",         5, 1, 0.5, topy-4*deltay,  2)
all_comps_v_graph.addexpr("GR_10.v(0.5)",   6, 1, 0.5, topy-5*deltay,  2)
all_comps_v_graph.addexpr("Spine[0].head.v(0.5)",     7, 1, 0.5,topy-6*deltay, 2)
all_comps_v_graph.addexpr("Spine[0].neck.v(0.5)",     8, 1, 0.5,topy-7*deltay, 2)
all_comps_v_graph.addexpr("Spine[1].head.v(0.5)",     9, 1, 0.5,topy-8*deltay, 2)
all_comps_v_graph.addexpr("Spine[1].neck.v(0.5)",     1, 6, 0.5,topy-9*deltay, 2)
// soma, 0.5 
}
objectvar scene_vector_[1]
{doNotify()}