Computer model of clonazepam`s effect in thalamic slice (Lytton 1997)

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Accession:12631
Demonstration of the effect of a minor pharmacological synaptic change at the network level. Clonazepam, a benzodiazepine, enhances inhibition but is paradoxically useful for certain types of seizures. This simulation shows how inhibition of inhibitory cells (the RE cells) produces this counter-intuitive effect.
Reference:
1 . Lytton WW (1997) Computer model of clonazepam's effect in thalamic slice. Neuroreport 8:3339-43 [PubMed]
Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism: Thalamus;
Cell Type(s): Thalamus geniculate nucleus (lateral) principal neuron; Thalamus reticular nucleus cell;
Channel(s): I Na,t; I T low threshold; I K; I CAN;
Gap Junctions:
Receptor(s): GabaA; Gaba;
Gene(s):
Transmitter(s): Gaba;
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Bursting; Therapeutics; Epilepsy; Calcium dynamics;
Implementer(s): Lytton, William [billl at neurosim.downstate.edu];
Search NeuronDB for information about:  Thalamus geniculate nucleus (lateral) principal neuron; Thalamus reticular nucleus cell; GabaA; Gaba; I Na,t; I T low threshold; I K; I CAN; Gaba;
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lytton97b
README
AMPA.mod
calciumpump_destexhe.mod *
GABAA.mod
GABAB1.mod
GABALOW.mod
HH_traub.mod *
IAHP_destexhe.mod
ICAN_destexhe.mod
ICAN_voltdep.mod
Ih_old.mod *
IT_wang.mod
IT2_huguenard.mod
NMDA.mod
passiv.mod *
pregen.mod *
presyn.mod *
pulse.mod
rand.mod
bg.inc *
boxes.hoc
ctl.dat
ctlnew.dat
czp.dat
czpnew.dat
declist.hoc *
decvec.hoc *
default.hoc *
disp.hoc
Fig3.gif
Fig4.gif
geom.hoc
grvec.hoc
init.hoc
labels.hoc
local.hoc
mod_func.c
mosinit.hoc
network.hoc
neurrep8
nrnoc.hoc
params.hoc
presyn.inc *
queue.inc *
run.hoc
show.hoc
simctrl.hoc *
sns.inc *
snsarr.inc
snscode.hoc
snsgr.hoc
snshead.inc *
synq.inc *
xtmp
                            
// $Id: labels.hoc,v 1.5 1995/11/20 21:02:34 billl Exp $

// external fgabaa,fgabab, fampa, fnmda, ftc, fre, fgen, mkcode

//* syn types: fgabaa = 0 fgabab = 1 fampa = 2 fnmda = 3}
func fgabaa (){return  0 }
func fgabab (){return  1 }
func fampa () {return  2 }
func fnmda () {return  3 }
func finj () {return  4 }

//* cell types: ftc = 0 fre = 1 fgen = 2
func ftc () {return  0 }
func fre () {return  1 }
func fgen (){return  2 }

//* field types:  nrn=1, syn=3, clm=3, idx=4
func nrn() { return 1 }  // neuron type (either RE or TC)
func syn() { return 2 }  // synapse type (GABAA, GABAB, AMPA, NMDA)
func clm() { return 3 }  // column number
func idx() { return 4 }  // nrn number in the column 

//* String labels by field type and name
cdlbls[nrn()][ftc()].s = "TC"
cdlbls[nrn()][fre()].s = "RE"
cdlbls[syn()][fgabaa()].s = "GABAA"
cdlbls[syn()][fgabab()].s = "GABAB"
cdlbls[syn()][fampa()].s = "AMPA"
cdlbls[syn()][fnmda()].s = "NMDA"
cdlbls[syn()][finj()].s = "PULSE"

// utility functions
// plmin(val,var)
func plmin() { return $1 + $2*(2*u_rand() - 1) } 

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