CN pyramidal fusiform cell (Kanold, Manis 2001)

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Pyramidal cells in the dorsal cochlear nucleus (DCN) show three characteristic discharge patterns in response tones: pauser, buildup, and regular firing. Experimental evidence suggests that a rapidly inactivating K+ current (I(KIF)) plays a critical role in generating these discharge patterns. To explore the role of I(KIF), we used a computational model based on the biophysical data. The model replicated the dependence of the discharge pattern on the magnitude and duration of hyperpolarizing prepulses, and I(KIF) was necessary to convey this dependence. Experimentally, half-inactivation voltage and kinetics of I(KIF) show wide variability. Varying these parameters in the model ... suggests that pyramidal cells can adjust their sensitivity to different temporal patterns of inhibition and excitation by modulating the kinetics of I(KIF). Overall, I(KIF) is a critical conductance controlling the excitability of DCN pyramidal cells. (See readme.txt and paper for details). Any questions regarding these implementations should be directed to: 2 April 2004 Paul B Manis, Ph.D.
1 . Kanold PO, Manis PB (2001) A physiologically based model of discharge pattern regulation by transient K+ currents in cochlear nucleus pyramidal cells. J Neurophysiol 85:523-38 [PubMed]
2 . Kanold PO, Manis PB (1999) Transient potassium currents regulate the discharge patterns of dorsal cochlear nucleus pyramidal cells. J Neurosci 19:2195-208 [PubMed]
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): Cochlear nucleus pyramidal/fusiform GLU cell;
Channel(s): I K; I h; I Sodium; I Potassium;
Gap Junctions:
Simulation Environment: NEURON;
Model Concept(s): Activity Patterns; Temporal Pattern Generation; Synaptic Integration;
Implementer(s): Manis, Paul B [PManis at];
Search NeuronDB for information about:  Cochlear nucleus pyramidal/fusiform GLU cell; I K; I h; I Sodium; I Potassium;
// util_run.hoc 
// Author: Paul B. Manis. 1/30/2000

// procedure rununtil: run with the current paramteres and record the result.
// setup is done in calling routines
// call with two arguments: the end time of the run, and an index for the number of the run
// The filename is global 
// Paul B. Manis 1/28/2000 (revised) 

proc rununtil() {
// setup
	tstop = $1 // copy variables 
	pos = $2
	idat.record(&istim.i) // link current to stimulus
	vdat.record(&soma.v(0.5)) // link voltage to soma voltage
	tdat.record(&t) // link tdat to time
	pyr_m.record(&soma.m_pyr(0.5)) // link state variables

	// select the stored single state measure

	if(monitor == 1) {
	if(monitor == 2) {
	if(monitor == 3) {
	if(monitor == 4) {
	if(monitor == 5) {
	if(monitor == 6) {
	if(monitor == 7) {
	if(monitor == 8) {
// actually run the model

// analyze the spike trains 
	tdelay = tdat.indwhere(">=", totaldelay)
	sdat.copy(vdat, tdelay, -1) // just get the part after the step whatever delay is present 
	tsdat.copy(tdat, tdelay, -1) // need a matching time base 
	spikes.spikebin(sdat, 0) // get the spikes using NEURON spikebin method
	spiket.indvwhere(spikes, ">", 0) // and then the indices	 
	fapn.x[pos] = spiket.size-1 // number of spikes in the window
	fslt = tsdat.x[spiket.x[0]] // find the first spike latency 
	nspike = spiket.size
	if(nspike > 1) {     
		fisit = tsdat.x[spiket.x[1]] - tsdat.x[spiket.x[0]]
	if(2 > nspike) {
		fisit = 0
		fisi.x[pos] = 0
	fsinj.x[pos] = istim.amp1

	fdel.x[pos] = pulsewidth

	t1 = tdat.indwhere(">=", totaldelay-1)
	t2 = tdat.indwhere(">=", totaldelay)
	vmean = vdat.mean(t1, t2)
	fsv.x[pos] = vmean
	fcap.x[pos] = effcap // save cap value... 

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