Cerebellar purkinje cell (De Schutter and Bower 1994)

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Accession:7176
Tutorial simulation of a cerebellar Purkinje cell. This tutorial is based upon a GENESIS simulation of a cerebellar Purkinje cell, modeled and fine-tuned by Erik de Schutter. The tutorial assumes that you have a basic knowledge of the Purkinje cell and its synaptic inputs. It gives visual insight in how different properties as concentrations and channel conductances vary and interact within a real Purkinje cell.
Reference:
1 . De Schutter E, Bower JM (1994) An active membrane model of the cerebellar Purkinje cell. I. Simulation of current clamps in slice. J Neurophysiol 71:375-400 [PubMed]
2 . De Schutter E, Bower JM (1994) An active membrane model of the cerebellar Purkinje cell II. Simulation of synaptic responses. J Neurophysiol 71:401-19 [PubMed]
3 . Staub C, De Schutter E, Knöpfel T (1994) Voltage-imaging and simulation of effects of voltage- and agonist-activated conductances on soma-dendritic voltage coupling in cerebellar Purkinje cells. J Comput Neurosci 1:301-11 [PubMed]
4 . De Schutter E, Bower JM (1994) Simulated responses of cerebellar Purkinje cells are independent of the dendritic location of granule cell synaptic inputs. Proc Natl Acad Sci U S A 91:4736-40 [PubMed]
5 . De Schutter E (1998) Dendritic voltage and calcium-gated channels amplify the variability of postsynaptic responses in a Purkinje cell model. J Neurophysiol 80:504-19 [PubMed]
6 . Jaeger D, De Schutter E, Bower JM (1997) The role of synaptic and voltage-gated currents in the control of Purkinje cell spiking: a modeling study. J Neurosci 17:91-106 [PubMed]
7 . de Schutter E (1994) Modelling the cerebellar Purkinje cell: experiments in computo. Prog Brain Res 102:427-41 [PubMed]
8 . De Schutter E (1997) A new functional role for cerebellar long-term depression. Prog Brain Res 114:529-42 [PubMed]
9 . Steuber V, Mittmann W, Hoebeek FE, Silver RA, De Zeeuw CI, Häusser M, De Schutter E (2007) Cerebellar LTD and pattern recognition by Purkinje cells. Neuron 54:121-36 [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;
Brain Region(s)/Organism:
Cell Type(s): Cerebellum Purkinje GABA cell;
Channel(s): I Na,p; I Na,t; I T low threshold; I p,q; I A; I K; I M; I K,Ca; I Sodium; I Calcium; I Potassium;
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: GENESIS;
Model Concept(s): Activity Patterns; Dendritic Action Potentials; Active Dendrites; Detailed Neuronal Models; Tutorial/Teaching; Synaptic Integration;
Implementer(s): Cornelis, Hugo [hugo at bbf.uia.ac.be]; Airong, Dong [tard at fimmu.com];
Search NeuronDB for information about:  Cerebellum Purkinje GABA cell; I Na,p; I Na,t; I T low threshold; I p,q; I A; I K; I M; I K,Ca; I Sodium; I Calcium; I Potassium; 
//genesis - Purkinje cell M9 genesis2.1 script
/* Copyright E. De Schutter (Caltech and BBF-UIA) */

/**********************************************************************
** Sets of synapse objects developed for rat cerebellum Purkinje
** E. De Schutter, Caltech, 1991-1992
**********************************************************************/

/* Reference:
** E. De Schutter and J.M. Bower: An active membrane model of the
** cerebellar Purkinje cell: II. Simulation of synaptic responses.
** Journal of Neurophysiology  71: 401-419 (1994).
** http://www.bbf.uia.ac.be/TNB/TNB_pub7.html
** Consult this reference for sources of experimental data.
*/

// CONSTANTS
/* should be defined by calling routine (all correctly scaled):
**	E_non_NMDA
**	E_GABA, G_GABA */

int include_Purk_syn

if ( {include_Purk_syn} == 0 )

	include_Purk_syn = 1


/*********************************************************************
**               The synaptic conductance equations 
*********************************************************************/

function make_Purkinje_syns

echo making Purkinje synapse library...

/* The conductance equations in this library are general and not
**  specific to the Purkinje cell */

/* GABA channel, made by EDS */
/* Reference: voltage clamp data from 
** Miles R: . J Physiol 1990.
** Tpeak: 3.25 ms, Tdecay = 28 ms */

	/* asynchronously firing channel */
    if (!({exists GABA}))
		create synchan GABA
    end
    setfield GABA Ek {E_GABA} tau1 {0.93e-3} tau2 {26.50e-3}  \
        gmax {G_GABA} frequency {0.0}

	/* synchronously firing channel */
    if (!({exists GABA2}))
		create synchan GABA2
    end
    setfield GABA2 Ek {E_GABA} tau1 {0.93e-3} tau2 {26.50e-3}  \
        gmax {GB_GABA}

/* non-NMDA channel, made by EDS */
/* Reference: based on data in Holmes WR, Levy WB: Insights
**  into associative long-term potentiation from computational models
**  of NMDA-receptor-mediated calcium influx and intracellular calcium
**  concentration changes.  J Neurophysiol 63, p 1148-1168, 1990. */

	/* asynchronously firing channel */
    if (!({exists non_NMDA}))
		create synchan non_NMDA
    end

    setfield non_NMDA Ek {E_non_NMDA} tau1 {0.50e-3} tau2 {1.20e-3}  \
        frequency {0.0}

	/* synchronously firing channel */
    if (!({exists non_NMDA2}))
        create synchan non_NMDA2
    end

    setfield non_NMDA2 Ek {E_non_NMDA} tau1 {0.50e-3} tau2 {1.20e-3}

end


end