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]
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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; 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;
TITLE Fast sodium current, for soma-dendrites compartments
 
COMMENT
  from Table 3 of "A branching dendritic model of a rodent CA3 pyramidal neurone." Traub RD et al. J Physiol. (1994) 
  implemented by Nikita Vladimirov <nikita.vladimirov@gmail.com>
ENDCOMMENT

NEURON {
        SUFFIX NaFsd
		USEION na READ ena WRITE ina
        RANGE  gbar, g, i
		GLOBAL Vm
} 
 
UNITS {
		(S)  = (siemens)
        (mA) = (milliamp)
        (mV) = (millivolt)
}

PARAMETER { 
		gbar = 0   (S/cm2)
		Vm   = -65 (mV) : resting potential
}

ASSIGNED {
		v   (mV)
		ena (mV)
		ina (mA/cm2)
		i   (mA/cm2)
		g   (S/cm2)
		minf
		hinf
		mtau (ms) 
		htau (ms)
}

STATE { m h }

BREAKPOINT {
		SOLVE states METHOD cnexp
		g = gbar * m^2 * h
		i = g * (v - ena)
		ina = i
}

INITIAL {
		rates(v)
		m = minf
		h = hinf
}

DERIVATIVE states {
        rates(v)
        m' = (minf-m)/mtau
        h' = (hinf-h)/htau
}

PROCEDURE rates(v(mV)) {
		LOCAL  alpham, betam, alphah, betah, small
        TABLE minf, mtau, hinf, htau FROM -100 TO 50 WITH 200
		UNITSOFF
			small = (13.1 - (v - Vm) )/4 
			if ( fabs(small) > 1e-6 ) {
				alpham = 0.32 * (13.1 - (v - Vm) ) / ( exp( (13.1 - (v - Vm) )/4 ) - 1 )
			} else {
				alpham = 0.32 * 4 / ( 1 + small/2 )
			}
			small = ( (v - Vm) - 40.1)/5
			if ( fabs(small) > 1e-6 ) {
				betam  = 0.28 * ( (v - Vm) - 40.1) / ( exp( ( (v - Vm) - 40.1)/5 ) - 1 ) 
			} else {
				betam  = 0.28 * 5 / ( 1 + small/2 )
			}
			minf   = alpham / ( alpham + betam )
			mtau   = 1 / ( alpham + betam )
			alphah = 0.128 * exp( (17 - (v - Vm) ) / 18 )
			betah  = 4 / ( 1 + exp( (40 - (v - Vm) )/5 ) )
			hinf   = alphah / ( alphah + betah )
			htau   = 1 / ( alphah + betah )
		UNITSON
}