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Single excitatory axons form clustered synapses onto CA1 pyramidal cell dendrites (Bloss et al 2018)

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Accession:237728
" ... Here we show that single presynaptic axons form multiple, spatially clustered inputs onto the distal, but not proximal, dendrites of CA1 pyramidal neurons. These compound connections exhibit ultrastructural features indicative of strong synapses and occur much more commonly in entorhinal than in thalamic afferents. Computational simulations revealed that compound connections depolarize dendrites in a biophysically efficient manner, owing to their inherent spatiotemporal clustering. ..."
Reference:
1 . Bloss EB, Cembrowski MS, Karsh B, Colonell J, Fetter RD, Spruston N (2018) Single excitatory axons form clustered synapses onto CA1 pyramidal cell dendrites. Nat Neurosci 21:353-363 [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):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: NEURON;
Model Concept(s):
Implementer(s):
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell;
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BlossEtAl2018
readme.html
dists.mod *
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gScale.mod
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kad.mod *
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kdr.mod *
na3.mod *
nmdaSyn.mod
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addSpines.hoc
addSynapses.hoc
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twinApical.swc *
varyDistribution.hoc
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COMMENT

Author: Mark Cembrowski, 2012

This is an extension of the Exp2Syn class to incorporate NMDA-like properties,
and incorporates some NMDA features from Elena Saftenku, 2001.

First, Exp2Syn is described:

Two state kinetic scheme synapse described by rise time tau1,
and decay time constant tau2. The normalized peak condunductance is 1.
Decay time MUST be greater than rise time.

The solution of A->G->bath with rate constants 1/tau1 and 1/tau2 is
 A = a*exp(-t/tau1) and
 G = a*tau2/(tau2-tau1)*(-exp(-t/tau1) + exp(-t/tau2))
	where tau1 < tau2

If tau2-tau1 -> 0 then we have a alphasynapse.
and if tau1 -> 0 then we have just single exponential decay.

The factor is evaluated in the
initial block such that an event of weight 1 generates a
peak conductance of 1.

Because the solution is a sum of exponentials, the
coupled equations can be solved as a pair of independent equations
by the more efficient cnexp method.

Next, two extensions have been included:
1.  Ca tracking, mimicking Ca influx through NMDA channels
	NOTE: 060517: MSC: this is now removed in our simple model because
	no other calcium handling mechanisms are present, and this feature
	is unnecessary.
2.  Voltage gating, mimicking Mg block

ENDCOMMENT

NEURON {
	POINT_PROCESS Exp2SynNMDA
	RANGE tau1, tau2, e, i, mgBlock
	NONSPECIFIC_CURRENT i

	RANGE g
}

UNITS {
	(nA) = (nanoamp)
	(mV) = (millivolt)
	(uS) = (microsiemens)
}

PARAMETER {
	tau1=.1 (ms) <1e-9,1e9>     : the actual tau's for use are in init.hoc (CL)
	tau2 = 10 (ms) <1e-9,1e9>
	e=0	(mV)
	alpha_vspom = -0.062 (/mV) :-0.075: -0.0602: -0.08: -0.062  :voltage-dependence of Mg2+ block from Maex and De Schutter 1998
	                                           : -0.0602 from Spruston et al. (1995) (Ching-Lung)
	v0_block = 10 (mV): 0 
	extMgConc = 1 (mM) : external Mg concentration
}

ASSIGNED {
	v (mV)
	i (nA)
	g (uS)
	factor
	mgBlock
	:extMgConc (mM)
}

STATE {
	A (uS)
	B (uS)
}

INITIAL {
	LOCAL tp
	if (tau1/tau2 > .9999) {
		tau1 = .9999*tau2
	}
	A = 0
	B = 0
	tp = (tau1*tau2)/(tau2 - tau1) * log(tau2/tau1)
	factor = -exp(-tp/tau1) + exp(-tp/tau2)
	factor = 1/factor
}

BREAKPOINT {
	SOLVE state METHOD cnexp
	g = B - A
	mgBlock = vspom(v)
	i = g*mgBlock*(v - e)
}

DERIVATIVE state {
	A' = -A/tau1
	B' = -B/tau2
}

NET_RECEIVE(weight (uS)) {
	A = A + weight*factor
	B = B + weight*factor
}

FUNCTION vspom (v(mV))( ){
	vspom=1./(1.+0.2801*extMgConc*exp(alpha_vspom*(v-v0_block))) :voltage-dependence of Mg2+ block from Maex and De Schutter 1998
}

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