STDP depends on dendritic synapse location (Letzkus et al. 2006)

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Accession:108459
This model was published in Letzkus, Kampa & Stuart (2006) J Neurosci 26(41):10420-9. The simulation creates several plots showing voltage and NMDA current and conductance changes at different apical dendritic locations in layer 5 pyramidal neurons during STDP induction protocols. Created by B. Kampa (2006).
Reference:
1 . Letzkus JJ, Kampa BM, Stuart GJ (2006) Learning rules for spike timing-dependent plasticity depend on dendritic synapse location. J Neurosci 26:10420-9 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell;
Brain Region(s)/Organism:
Cell Type(s): Neocortex L5/6 pyramidal GLU cell;
Channel(s): I L high threshold; I T low threshold; I A; I M; I K,Ca; I Sodium; I Calcium; I Potassium;
Gap Junctions:
Receptor(s): NMDA;
Gene(s):
Transmitter(s): Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Bursting; Active Dendrites; Synaptic Plasticity; Long-term Synaptic Plasticity; Action Potentials; STDP; Calcium dynamics;
Implementer(s): Kampa, Bjorn M [Bjoern.Kampa at anu.edu.au];
Search NeuronDB for information about:  Neocortex L5/6 pyramidal GLU cell; NMDA; I L high threshold; I T low threshold; I A; I M; I K,Ca; I Sodium; I Calcium; I Potassium; Glutamate;
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LetzkusEtAl2006
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ca.mod *
cad.mod
epsp.mod *
h.mod
it2.mod *
kaprox.mod *
kca.mod *
km.mod *
kv.mod *
na.mod *
NMDA_Mg.mod
release_BMK.mod *
                            
TITLE transmitter release

COMMENT
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   References:

   Destexhe, A., Mainen, Z.F. and Sejnowski, T.J. Synthesis of models for
   excitable membranes, synaptic transmission and neuromodulation using a 
   common kinetic formalism, Journal of Computational Neuroscience 1: 
   195-230, 1994.

   Destexhe, A., Mainen, Z.F. and Sejnowski, T.J.  Kinetic models of 
   synaptic transmission.  In: Methods in Neuronal Modeling (2nd edition; 
   edited by Koch, C. and Segev, I.), MIT press, Cambridge, 1996.

  Written by Bjoern Kampa, 2004

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ENDCOMMENT


INDEPENDENT {t FROM 0 TO 1 WITH 1 (ms)}

NEURON {
	SUFFIX rel
	RANGE T, del, dur, amp
}

UNITS {
	(mM) = (milli/liter)
}

PARAMETER {
	del (ms)
	dur (ms)	<0,1e9>
	amp (mM)
}

ASSIGNED { T (mM)
}


INITIAL {
	T = 0
}

BREAKPOINT {
	at_time(del)
	at_time(del+dur)

	if (t < del + dur && t > del) {
		T = amp
	}else{
		T = 0
	}
}