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

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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]
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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;
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EbnerEtAl2019
models
L5PCbiophys1.hoc *
L5PCbiophys2.hoc *
L5PCbiophys3.hoc
L5PCbiophys4.hoc *
L5PCtemplate.hoc *
                            
// 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 for Current Step Firing

begintemplate L5PCbiophys
public biophys

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

  forsec $o1.somatic {
	  insert Ca_LVAst 
	  insert Ca_HVA 
	  insert SKv3_1 
	  insert SK_E2 
	  insert K_Tst 
	  insert K_Pst 
	  insert Nap_Et2 
	  insert NaTa_t
		insert CaDynamics_E2
		insert Ih
		ek = -85
		ena = 50
		gIhbar_Ih = 0.0002
    g_pas = 0.0000408 
  	decay_CaDynamics_E2 = 376.0 
  	gamma_CaDynamics_E2 = 0.000591 
  	gCa_LVAstbar_Ca_LVAst = 0.00977 
  	gCa_HVAbar_Ca_HVA = 0.000506 
  	gSKv3_1bar_SKv3_1 = 0.497 
  	gSK_E2bar_SK_E2 = 0.0548 
  	gK_Tstbar_K_Tst = 0.0565 
  	gK_Pstbar_K_Pst = 0.0236 
  	gNap_Et2bar_Nap_Et2 = 0.00268 
  	gNaTa_tbar_NaTa_t = 2.08 
  }

	forsec $o1.apical {
		cm = 2
		insert Ih
  	insert SK_E2 
  	insert Ca_LVAst 
  	insert Ca_HVA 
  	insert SKv3_1 
  	insert NaTa_t 
  	insert Im 
  	insert CaDynamics_E2
		ek = -85
		ena = 50
    decay_CaDynamics_E2 = 22.3 
    gamma_CaDynamics_E2 = 0.00759 
    gSK_E2bar_SK_E2 = 0.00553 
  	gSKv3_1bar_SKv3_1 = 0.0238 
  	gNaTa_tbar_NaTa_t = 0.0165 
  	gImbar_Im = 0.000786 
  	g_pas = 0.0000602 
	}
	$o1.distribute_channels("apic","gIhbar_Ih",2,-0.8696,3.6161,0.0,2.0870,0.00020000000) 
	$o1.distribute_channels("apic","gCa_LVAstbar_Ca_LVAst",3,1.000000,0.010000,685.000000,885.000000,0.197000000) 
	$o1.distribute_channels("apic","gCa_HVAbar_Ca_HVA",3,1.000000,0.100000,685.000000,885.000000,0.001780000) 
	
  forsec $o1.basal {
		cm = 2
		insert Ih
		gIhbar_Ih = 0.0002
  	g_pas = 0.0000788 
	}

  forsec $o1.axonal {
  	g_pas = 0.0000341 
	}
}

endtemplate L5PCbiophys