Four-pathway phenomenological synaptic plasticity model (Ebner et al. 2019)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:251493

Reference:
1 . Ebner C, Clopath C, Jedlicka P, Cuntz H (2019) Unifying Long-Term Plasticity Rules for Excitatory Synapses by Modeling Dendrites of Cortical Pyramidal Neurons. Cell Rep 29:4295-4307.e6 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Synapse;
Brain Region(s)/Organism:
Cell Type(s): Neocortex V1 L5B pyramidal pyramidal tract GLU cell;
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Synaptic Plasticity; Long-term Synaptic Plasticity; Detailed Neuronal Models; Active Dendrites; Influence of Dendritic Geometry;
Implementer(s): Ebner, Christian [ebner at fias.uni-frankfurt.de];
Search NeuronDB for information about:  Neocortex V1 L5B pyramidal pyramidal tract GLU cell;
// Author: Etay Hay, 2011
//    Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of
//    Dendritic and Perisomatic Active Properties
//    (Hay et al., PLoS Computational Biology, 2011) 
//
// Model of L5 Pyramidal Cell, constrained both for BAC firing and Current Step Firing
//    with AP initiation in the axon


begintemplate L5PCbiophys
public biophys

proc biophys() {
	forsec $o1.all {
	  insert pas
		cm = 1
		Ra = 100
		e_pas = -90
	}

  forsec $o1.axonal {
  	insert Im 
  	insert Ca_LVAst 
  	insert Ca_HVA
  	insert CaDynamics_E2 
  	insert SKv3_1 
  	insert SK_E2 
  	insert K_Tst 
  	insert K_Pst 
  	insert Nap_Et2 
  	insert NaTa_t 
		ek = -85
		ena = 50
    insert Ih
  	gIhbar_Ih = 0.0001 
		g_pas = 3e-5
  	gImbar_Im = 0.013322 
  	decay_CaDynamics_E2 = 277.300774 
  	gamma_CaDynamics_E2 = 0.000525 
  	gCa_LVAstbar_Ca_LVAst = 0.000813 
  	gCa_HVAbar_Ca_HVA = 0.000222 
  	gSKv3_1bar_SKv3_1 = 0.473799 
  	gSK_E2bar_SK_E2 = 0.000047 
  	gK_Tstbar_K_Tst = 0.077274 
  	gK_Pstbar_K_Pst = 0.188851 
  	gNap_Et2bar_Nap_Et2 = 0.005834 
  	gNaTa_tbar_NaTa_t = 3.89618 
	}

  forsec $o1.somatic {
  	insert Im 
  	insert Ca_LVAst 
  	insert Ca_HVA
  	insert CaDynamics_E2 
  	insert SK_E2 
  	insert SKv3_1 
  	insert NaTs2_t 
		ek = -85
		ena = 50
    insert Ih
  	gIhbar_Ih = 0.0001 
		g_pas = 3e-5
  	gImbar_Im = 0.000008 
  	decay_CaDynamics_E2 = 294.679571 
  	gamma_CaDynamics_E2 = 0.000509 
  	gCa_LVAstbar_Ca_LVAst = 0.000557 
  	gCa_HVAbar_Ca_HVA = 0.000644 
  	gSK_E2bar_SK_E2 = 0.09965 
  	gSKv3_1bar_SKv3_1 = 0.338029 
  	gNaTs2_tbar_NaTs2_t = 0.998912 
  }

	forsec $o1.apical {
    insert CaDynamics_E2 
  	insert SK_E2 
  	insert Ca_LVAst 
  	insert Ca_HVA 
  	insert SKv3_1 
  	insert NaTs2_t 
  	insert Im 
    insert Ih
		ek = -85
		ena = 50
		cm = 2
		g_pas = 6e-5
  	decay_CaDynamics_E2 = 35.725651 
  	gamma_CaDynamics_E2 = 0.000637 
  	gSK_E2bar_SK_E2 = 0.000002 
  	gCa_HVAbar_Ca_HVA = 0.000701 
  	gSKv3_1bar_SKv3_1 = 0.001808 
  	gNaTs2_tbar_NaTs2_t = 0.021489 
  	gImbar_Im = 0.00099 
	}

	$o1.distribute_channels("apic","gIhbar_Ih",2,-0.8696,3.6161,0.0,2.0870,0.00010000000) 
  $o1.distribute_channels("apic","gCa_LVAstbar_Ca_LVAst",3,1.000000,0.010000,700.000000,900.000000,0.1419540000) 
	
  forsec $o1.basal {
    insert Ih
  	gIhbar_Ih = 0.0001 
		cm = 2
		g_pas = 6e-5
	}
}

endtemplate L5PCbiophys

Loading data, please wait...