Synaptic gating at axonal branches, and sharp-wave ripples with replay (Vladimirov et al. 2013)

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Accession:150446
The computational model of in vivo sharp-wave ripples with place cell replay. Excitatory post-synaptic potentials at dendrites gate antidromic spikes arriving from the axonal collateral, and thus determine when the soma and the main axon fire. The model allows synchronous replay of pyramidal cells during sharp-wave ripple event, and the replay is possible in both forward and reverse directions.
Reference:
1 . Vladimirov N, Tu Y, Traub RD (2013) Synaptic gating at axonal branches, and sharp-wave ripples with replay: a simulation study. Eur J Neurosci 38:3435-47 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Axon; Dendrite; Connectionist Network;
Brain Region(s)/Organism:
Cell Type(s): Hippocampus CA1 pyramidal GLU cell; Hippocampus CA1 basket cell;
Channel(s): I Na,t; I A; I K; I K,leak; I K,Ca; I Calcium; I Potassium; I_AHP;
Gap Junctions: Gap junctions;
Receptor(s): GabaA; AMPA;
Gene(s):
Transmitter(s): Gaba; Glutamate;
Simulation Environment: NEURON;
Model Concept(s): Action Potential Initiation; Oscillations; Synchronization; Axonal Action Potentials; Place cell/field; Conduction failure; Brain Rhythms;
Implementer(s): Vladimirov, Nikita ;
Search NeuronDB for information about:  Hippocampus CA1 pyramidal GLU cell; GabaA; AMPA; I Na,t; I A; I K; I K,leak; I K,Ca; I Calcium; I Potassium; I_AHP; Gaba; Glutamate;
COMMENT
Alpha Synapse implemented with Kinetic Scheme as per Chapter 10 NEURON book;
peak conductance is 1
ENDCOMMENT
NEURON {
	POINT_PROCESS AlphaSyn
	RANGE tau, e, i, g
	NONSPECIFIC_CURRENT i
}

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

PARAMETER {
	tau = 0.1 (ms) <1e-9,1e9>
	e = 0	(mV)
}

ASSIGNED {
	v (mV)
	i (nA)
}

STATE { a (uS) g (uS) }

INITIAL {
	g=0
}

BREAKPOINT {
	SOLVE state METHOD sparse
	i = g*(v - e)
}

KINETIC state {
	~ a <-> g (1/tau, 0)
	~ g -> (1/tau)
}

NET_RECEIVE(weight (uS)) {
	a = a + weight*exp(1)
}

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