CA1 pyramidal neuron: synaptically-induced bAP predicts synapse location (Sterratt et al. 2012)

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Accession:144490
This is an adaptation of Poirazi et al.'s (2003) CA1 model that is used to measure BAP-induced voltage and calcium signals in spines after simulated Schaffer collateral synapse stimulation. In the model, the peak calcium concentration is highly correlated with soma-synapse distance under a number of physiologically-realistic suprathreshold stimulation regimes and for a range of dendritic morphologies. There are also simulations demonstrating that peak calcium can be used to set up a synaptic democracy in a homeostatic manner, whereby synapses regulate their synaptic strength on the basis of the difference between peak calcium and a uniform target value.
Reference:
1 . Sterratt DC, Groen MR, Meredith RM, van Ooyen A (2012) Spine calcium transients induced by synaptically-evoked action potentials can predict synapse location and establish synaptic democracy. PLoS Comput Biol 8:e1002545 [PubMed]
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): Hippocampus CA1 pyramidal GLU cell;
Channel(s): I Na,t; I L high threshold; I T low threshold; I A; I K; I M; I Mixed; I R; I_AHP;
Gap Junctions:
Receptor(s): AMPA; NMDA;
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s): Dendritic Action Potentials; Synaptic Plasticity;
Implementer(s): Sterratt, David ; Groen, Martine R [martine.groen at gmail.com];
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; AMPA; NMDA; I Na,t; I L high threshold; I T low threshold; I A; I K; I M; I Mixed; I R; I_AHP;
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bpap
CA1_multi
mechanism
cad.mod *
cagk.mod *
cal.mod *
calH.mod *
car.mod *
cat.mod *
d3.mod *
gabaa.mod *
gabab.mod *
glutamate.mod *
h.mod *
hha_old.mod *
hha2.mod *
kadist.mod *
kaprox.mod *
kca.mod *
km.mod *
nap.mod *
nmda.mod *
somacar.mod *
mosinit.hoc.old *
mosinit.poirazi.hoc *
                            
TITLE  H-current that uses Na ions

NEURON {
	SUFFIX h
        RANGE  gbar,vhalf, K, taun, ninf, g  
	USEION na READ ena WRITE ina      
:	NONSPECIFIC_CURRENT i
}

UNITS {
	(um) = (micrometer)
	(mA) = (milliamp)
	(uA) = (microamp)
	(mV) = (millivolt)
	(pmho) = (picomho)
	(mmho) = (millimho)
}

INDEPENDENT {t FROM 0 TO 1 WITH 100 (ms)}

PARAMETER {              : parameters that can be entered when function is called in cell-setup
        dt             (ms)
	v              (mV)
        ena    = 50    (mV)
        eh     = -10   (mV)
	K      = 8.5   (mV)
	gbar   = 0     (mho/cm2)  : initialize conductance to zero
	vhalf  = -90   (mV)       : half potential
}	


STATE {                : the unknown parameters to be solved in the DEs
	n
}

ASSIGNED {             : parameters needed to solve DE
	ina (mA/cm2)
	ninf
	taun (ms)
	g
}

        


INITIAL {               : initialize the following parameter using states()
	states()	
	n = ninf
	g = gbar*n
	ina = g*(v-eh)
}


BREAKPOINT {
	SOLVE h METHOD derivimplicit
	g = gbar*n
	ina = g*(v-eh)  
}

DERIVATIVE h {
	states()
        n' = (ninf - n)/taun
}

PROCEDURE states() {  
 
 	if (v > -30) {
	   taun = 1
	} else {
           taun = 2*(1/(exp((v+145)/-17.5)+exp((v+16.8)/16.5)) + 5) :h activation tau

	}  
         ninf = 1 - (1 / (1 + exp((vhalf - v)/K)))                  :steady state value
}




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