LTP in cerebellar mossy fiber-granule cell synapses (Saftenku 2002)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:51196
We simulated synaptic transmission and modified a simple model of long-term potentiation (LTP) and long-term depression (LTD) in order to describe long-term plasticity related changes in cerebellar mossy fiber-granule cell synapses. In our model, protein autophosphorylation, leading to the maintenance of long-term plasticity, is controlled by Ca2+ entry through the NMDA receptor channels. The observed nonlinearity in the development of long-term changes of EPSP in granule cells is explained by the difference in the rate constants of two independent autocatalytic processes.
Reference:
1 . Saftenku EE (2002) A simplified model of long-term plasticity in cerebellar mossy fiber-granule cell synapses. Neurophysiology/Neirofiziologiya 34:216-218
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Simplified Models; Long-term Synaptic Plasticity; Maintenance;
Implementer(s): Saftenku, Elena [esaft at biph.kiev.ua];
Search NeuronDB for information about:  AMPA; NMDA;
//Kinetic scheme of AMPA receptors of Jonas, Major, Sakmann (1993)
objref AMPAMenu
AMPAMenu = new VBox()
AMPAMenu.intercept(1)
Ampa_C1C2=GrCell[0].ampa[0].cam_4_3
Ampa_C2C3=GrCell[0].ampa[0].cam_3_2
Ampa_D1D2=GrCell[0].ampa[0].cam_7_6
Ampa_OD3= GrCell[0].ampa[0].cam_1_5
Ampa_OC3= GrCell[0].ampa[0].cam_1_2
Ampa_C3O= GrCell[0].ampa[0].cam_2_1
Ampa_C3C2= GrCell[0].ampa[0].cam_2_3
Ampa_C3D2= GrCell[0].ampa[0].cam_2_6
Ampa_C2C1= GrCell[0].ampa[0].cam_3_4
Ampa_C2D1= GrCell[0].ampa[0].cam_3_7
Ampa_D3O= GrCell[0].ampa[0].cam_5_1
Ampa_D2C3= GrCell[0].ampa[0].cam_6_2
Ampa_D2D1= GrCell[0].ampa[0].cam_6_7
Ampa_D1C2= GrCell[0].ampa[0].cam_7_3
Ampa_D2D3= GrCell[0].ampa[0].cam_6_5
Ampa_D3D2= GrCell[0].ampa[0].cam_5_6
Ampa_Gmax= GrCell[0].ampa[0].gbarampa
xpanel("1")
	xlabel("AMPA")
xvalue("C1C2 (mM-1ms-1)","Ampa_C1C2", 1,"UpDateAMPA()", 0, 0 )
xvalue("C2C3 (mM-1ms-1)","Ampa_C2C3", 1,"UpDateAMPA()", 0, 0 )
xvalue("D1D2 (mM-1ms-1)","Ampa_D1D2", 1,"UpDateAMPA()", 0, 0 )
xvalue("OD3 (ms-1)","Ampa_OD3", 1,"UpDateAMPA()", 0, 0 )
xvalue("OC3 (ms-1)","Ampa_OC3", 1,"UpDateAMPA()", 0, 0 )
xvalue("C3O (ms-1)","Ampa_C3O", 1,"UpDateAMPA()", 0, 0 )
xvalue("C3C2 (ms-1)","Ampa_C3C2", 1,"UpDateAMPA()", 0, 0 )
xvalue("C3D2 (ms-1)","Ampa_C3D2", 1,"UpDateAMPA()", 0, 0 )
xvalue("C2C1 (ms-1)","Ampa_C2C1", 1,"UpDateAMPA()", 0, 0 )
xvalue("C2D1 (ms-1)","Ampa_C2D1", 1,"UpDateAMPA()", 0, 0 )
xvalue("D3O (ms-1)","Ampa_D3O", 1,"UpDateAMPA()", 0, 0 )
xvalue("D2C3 (ms-1)","Ampa_D2C3", 1,"UpDateAMPA()", 0, 0 )
xvalue("D2D1 (ms-1)","Ampa_D2D1", 1,"UpDateAMPA()", 0, 0 )
xvalue("D1C2 (ms-1)","Ampa_D1C2", 1,"UpDateAMPA()", 0, 0 )
xvalue("D2D3 (ms-1)","Ampa_D2D3", 1,"UpDateAMPA()", 0, 0 )
xvalue("D3D2 (ms-1)","Ampa_D3D2", 1,"UpDateAMPA()", 0, 0 )
xvalue("Gmax (umho)","Ampa_Gmax", 1,"UpDateAMPA()", 0, 0 )
xpanel()

AMPAMenu.intercept(0)
AMPAMenu.map("AMPAR parameters")

proc UpDateAMPA(){
	for (i=0;i<=3;i=i+1) {
GrCell[0].ampa[i].cam_4_3=Ampa_C1C2
GrCell[0].ampa[i].cam_3_2=Ampa_C2C3
GrCell[0].ampa[i].cam_7_6=Ampa_D1D2
GrCell[0].ampa[i].cam_1_5=Ampa_OD3
GrCell[0].ampa[i].cam_1_2=Ampa_OC3
GrCell[0].ampa[i].cam_2_1=Ampa_C3O
GrCell[0].ampa[i].cam_2_3=Ampa_C3C2
GrCell[0].ampa[i].cam_2_6=Ampa_C3D2
GrCell[0].ampa[i].cam_3_4=Ampa_C2C1
GrCell[0].ampa[i].cam_3_7=Ampa_C2D1
GrCell[0].ampa[i].cam_5_1=Ampa_D3O
GrCell[0].ampa[i].cam_6_2=Ampa_D2C3
GrCell[0].ampa[i] [i].cam_6_7=Ampa_D2D1
GrCell[0].ampa[i] [i].cam_7_3=Ampa_D1C2
GrCell[0].ampa[i] [i].cam_6_5=Ampa_D2D3
GrCell[0].ampa[i] [i].cam_5_6=Ampa_D3D2
GrCell[0].ampa[i] [i].gbarampa=Ampa_Gmax
}
}	

Loading data, please wait...