Application of a common kinetic formalism for synaptic models (Destexhe et al 1994)

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Accession:18198
Application to AMPA, NMDA, GABAA, and GABAB receptors is given in a book chapter. The reference paper synthesizes a comprehensive general description of synaptic transmission with Markov kinetic models. This framework is applicable to modeling ion channels, synaptic release, and all receptors. Please see the references for more details. A simple introduction to this method is given in a seperate paper Destexhe et al Neural Comput 6:14-18 , 1994). More information and papers at http://cns.iaf.cnrs-gif.fr/Main.html and through email: Destexhe@iaf.cnrs-gif.fr
References:
1 . Destexhe A, Mainen ZF, Sejnowski TJ (1994) Synthesis of models for excitable membranes, synaptic transmission and neuromodulation using a common kinetic formalism. J Comput Neurosci 1:195-230 [PubMed]
2 . Destexhe A, Mainen Z, Sejnowski TJ (1994) An efficient method for computing synaptic conductances based on a kinetic model of receptor binding Neural Comput 6:14-18
3 . Destexhe A, Mainen Z, Sejnowski T (1995) Fast Kinetic Models for Simulating AMPA, NMDA, GABAA and GABAB Receptors The Neurobiology of Computation, Bower J, ed. pp.9
Model Information (Click on a link to find other models with that property)
Model Type: Synapse; Electrogenic pump;
Brain Region(s)/Organism:
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s): Nicotinic; M1; M3; M4; M5; M2; mGluR1; mGluR2; mGluR3; mGluR4; mGluR5; mGluR6; mGluR7; mGluR8; Alpha; Alpha1; Alpha2; Beta; D1; D2; 5-HT1; 5-HT2; 5-HT4; H2; GabaA; GabaB; Muscarinic; AMPA; NMDA; mGluR; 5-HT3; Kainate; Monoamine Receptors; Glutamate; Gaba; Adrenergic; Serotonin; Histamine; Cholinergic Receptors; Amino Acid Receptors; Sensory Receptors; Olfactory Receptors; Opsins; Dopaminergic Receptor; Glycine; Gaseous Receptors; NO; Peptide Receptors; Dynorphin; H1; Ion Receptors; Zn2+; CO;
Gene(s):
Transmitter(s): Acetylcholine; Glycine; Dopamine; Zn2+; NO; CO; Dynorphin; Ephinephrine; Norephinephrine; Amino Acids; Gaba; Glutamate; Monoamines; Peptides; Ions; Gases; Histamine; Serotonin;
Simulation Environment: NEURON;
Model Concept(s): Ion Channel Kinetics; Markov-type model;
Implementer(s): Destexhe, Alain [Destexhe at iaf.cnrs-gif.fr]; Mainen, Zach [Mainen at cshl.edu];
Search NeuronDB for information about:  Nicotinic; M1; M3; M4; M5; M2; mGluR1; mGluR2; mGluR3; mGluR4; mGluR5; mGluR6; mGluR7; mGluR8; Alpha; Alpha1; Alpha2; Beta; D1; D2; 5-HT1; 5-HT2; 5-HT4; H2; GabaA; GabaB; Muscarinic; AMPA; NMDA; mGluR; 5-HT3; Kainate; Monoamine Receptors; Glutamate; Gaba; Adrenergic; Serotonin; Histamine; Cholinergic Receptors; Amino Acid Receptors; Sensory Receptors; Olfactory Receptors; Opsins; Dopaminergic Receptor; Glycine; Gaseous Receptors; NO; Peptide Receptors; Dynorphin; H1; Ion Receptors; Zn2+; CO; Acetylcholine; Glycine; Dopamine; Zn2+; NO; CO; Dynorphin; Ephinephrine; Norephinephrine; Amino Acids; Gaba; Glutamate; Monoamines; Peptides; Ions; Gases; Histamine; Serotonin;
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SYN_NEW
README
ampa.mod *
ampa5.mod *
caL3d.mod *
gabaa.mod *
gabaa5.mod *
gabab.mod *
gabab3.mod
HH2.mod *
nmda.mod *
nmda5.mod *
release.mod
ampa.hoc
ampa5.hoc
gabaa.hoc
gabaa5.hoc
gabab.hoc
gabab3.hoc
mosinit.hoc *
nmda.hoc
nmda5.hoc
release.hoc
rundemo.hoc
                            
TITLE detailed model of glutamate AMPA receptors

COMMENT
-----------------------------------------------------------------------------

	Kinetic model of AMPA receptors
	===============================

	6-state gating model:
	similar to that suggested by
 	Patneau and Mayer, Neuron 6:785 (1991)
	Patneau et al, J Neurosci 13:3496 (1993)
  
	C ---- C1 -- C2 -- O
	       |     |
      	       D1    D2

-----------------------------------------------------------------------------

  Based on voltage-clamp recordings of AMPA receptor-mediated currents in rat
  hippocampal slices (Xiang et al., J. Neurophysiol. 71: 2552-2556, 1994), this
  model was fit directly to experimental recordings in order to obtain the
  optimal values for the parameters (see Destexhe, Mainen and Sejnowski, 1996).

-----------------------------------------------------------------------------

  This mod file does not include mechanisms for the release and time course
  of transmitter; it is to be used in conjunction with a sepearate mechanism
  to describe the release of transmitter and that provides the concentration
  of transmitter in the synaptic cleft (to be connected to pointer C here).

-----------------------------------------------------------------------------

  See details in:

  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, 1998, pp. 1-25.

  (electronic copy available at http://cns.iaf.cnrs-gif.fr)



  Alain Destexhe and Zach Mainen, 1995

-----------------------------------------------------------------------------
ENDCOMMENT

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

NEURON {
	POINT_PROCESS AMPA5
	POINTER C
	RANGE C0, C1, C2, D1, D2, O
	RANGE g, gmax, rb
	GLOBAL Erev
	GLOBAL Rb, Ru1, Ru2, Rd, Rr, Ro, Rc
	GLOBAL vmin, vmax
	NONSPECIFIC_CURRENT i
}

UNITS {
	(nA) = (nanoamp)
	(mV) = (millivolt)
	(pS) = (picosiemens)
	(umho) = (micromho)
	(mM) = (milli/liter)
	(uM) = (micro/liter)
}

PARAMETER {

	Erev	= 0    (mV)	: reversal potential
	gmax	= 500  (pS)	: maximal conductance
	vmin = -120	(mV)
	vmax = 100	(mV)
	
: Rates

	Rb	= 13   (/mM /ms): binding 
				: diffusion limited (DO NOT ADJUST)
	Ru1	= 0.0059  (/ms)	: unbinding (1st site)
	Ru2	= 86  (/ms)	: unbinding (2nd site)		
	Rd	= 0.9   (/ms)	: desensitization
	Rr	= 0.064 (/ms)	: resensitization 
	Ro	= 2.7    (/ms)	: opening
	Rc	= 0.2    (/ms)	: closing
}

ASSIGNED {
	v		(mV)		: postsynaptic voltage
	i 		(nA)		: current = g*(v - Erev)
	g 		(pS)		: conductance
	C 		(mM)		: pointer to glutamate concentration

	rb		(/ms)    : binding
}

STATE {
	: Channel states (all fractions)
	C0		: unbound
	C1		: single glu bound
	C2		: double glu bound
 	D1		: single glu bound, desensitized
 	D2		: double glu bound, desensitized
	O		: open state 2
}

INITIAL {
	C0=1
	C1=0
	C2=0
	D1=0
	D2=0
	O=0
}

BREAKPOINT {
	SOLVE kstates METHOD sparse

	g = gmax * O
	i = (1e-6) * g * (v - Erev)
}

KINETIC kstates {
	
	rb = Rb * C 

	~ C0  <-> C1	(rb,Ru1)
	~ C1 <-> C2	(rb,Ru2)
	~ C1 <-> D1	(Rd,Rr)
	~ C2 <-> D2	(Rd,Rr)
	~ C2 <-> O	(Ro,Rc)

	CONSERVE C0+C1+C2+D1+D2+O = 1
}


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