Cerebellar Golgi cell (Solinas et al. 2007a, 2007b)

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Accession:112685
"... Our results suggest that a complex complement of ionic mechanisms is needed to fine-tune separate aspects of the neuronal response dynamics. Simulations also suggest that the Golgi cell may exploit these mechanisms to obtain a fine regulation of timing of incoming mossy fiber responses and granular layer circuit oscillation and bursting."
References:
1 . Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E (2007) Computational reconstruction of pacemaking and intrinsic electroresponsiveness in cerebellar golgi cells. Front. Cell. Neurosci. 1:2:1-12 [PubMed]
2 . Solinas S, Forti L, Cesana E, Mapelli J, De Schutter E, D'Angelo E (2007) Fast-reset of pacemaking and theta-frequency resonance patterns in cerebellar golgi cells: Simulations of their impact in vivo. Front. Cell. Neurosci. 1:4:1-9 [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: Cerebellum;
Cell Type(s): Cerebellum golgi cell;
Channel(s): I Na,p; I Na,t; I T low threshold; I A; I K; I M; I K,Ca; I Sodium; I Calcium; I Potassium; I h;
Gap Junctions:
Receptor(s):
Gene(s): HCN1;
Transmitter(s):
Simulation Environment: NEURON; neuroConstruct (web link to model);
Model Concept(s): Activity Patterns; Oscillations;
Implementer(s): D'Angelo, Egidio [dangelo at unipv.it]; De Schutter, Erik [erik at oist.jp];
Search NeuronDB for information about:  I Na,p; I Na,t; I T low threshold; I A; I K; I M; I h; I K,Ca; I Sodium; I Calcium; I Potassium;
Files displayed below are from the implementation
/
Golgi_cell
sessions
readme.html
Golgi_BK.mod *
Golgi_Ca_HVA.mod *
Golgi_Ca_LVA.mod *
Golgi_CALC.mod *
Golgi_CALC_ca2.mod *
Golgi_hcn1.mod *
Golgi_hcn2.mod *
Golgi_KA.mod *
Golgi_KM.mod *
Golgi_KV.mod *
Golgi_lkg.mod *
Golgi_Na.mod *
Golgi_NaP.mod *
Golgi_NaR.mod *
Golgi_SK2.mod *
Pregen.mod *
Synapse.mod *
Channel_dynamics.hoc *
Golgi_ComPanel.hoc *
Golgi_count.txt
Golgi_template.hoc
mosinit.hoc
Save_data.hoc *
screenshot.jpg
Start_golgi.hoc
Synapses.hoc *
utils.hoc *
                            
TITLE Cerebellum Golgi Cell Model

COMMENT
        Na persistent channel
   
	Author: E.D Angelo, T.Nieus, A. Fontana 
	Last revised: 8.5.2000
ENDCOMMENT
 
NEURON { 
	SUFFIX Golgi_NaP 
	USEION na READ ena WRITE ina 
	RANGE gbar, ina, g
	:RANGE Aalpha_m, Kalpha_m, V0alpha_m, alpha_m, beta_m
	:RANGE Abeta_m, Kbeta_m, V0beta_m
	:RANGE V0_minf, B_minf
	RANGE m, m_inf, tau_m, tcorr
	:GLOBAL i
} 
 
UNITS { 
	(mA) = (milliamp) 
	(mV) = (millivolt) 
} 
 
PARAMETER { 
	gbar		= 0.00019 (mho/cm2)
	Aalpha_m 	= -0.91 (/mV-ms)
	Kalpha_m 	= -5 (mV)
	V0alpha_m 	= -40 (mV)
	Abeta_m 	= 0.62 (/mV-ms)
	Kbeta_m 	= 5 (mV)
	V0beta_m 	= -40 (mV)
	V0_minf 	= -43 (mV)
	B_minf 		= 5 (mV)
	v (mV) 
	ena 	 (mV) 
	celsius  (degC) 
	Q10 = 3	(1)
} 

STATE { 
	m 
} 

ASSIGNED { 
	ina (mA/cm2) 
	m_inf 
	tau_m (ms) 
	g (mho/cm2) 
	alpha_m (/ms)
	beta_m (/ms)
	tcorr	(1)
} 
 
INITIAL { 
	rate(v) 
	m = m_inf 
} 
 
BREAKPOINT { 
	SOLVE states METHOD derivimplicit 
	g = gbar*m 
	ina = g*(v - ena) 
	alpha_m = alp_m(v)
	beta_m = bet_m(v)
} 
 
DERIVATIVE states { 
	rate(v) 
	m' =(m_inf - m)/tau_m 
} 

FUNCTION alp_m(v(mV))(/ms) {
	tcorr = Q10^((celsius-30(degC))/10(degC))
	alp_m = tcorr * Aalpha_m*linoid(v-V0alpha_m, Kalpha_m) 
} 
 
FUNCTION bet_m(v(mV))(/ms) {
	tcorr = Q10^((celsius-30(degC))/10(degC))
	bet_m = tcorr * Abeta_m*linoid(v-V0beta_m, Kbeta_m) 
} 
 
PROCEDURE rate(v (mV)) {LOCAL a_m, b_m 
	TABLE m_inf, tau_m 
	DEPEND Aalpha_m, Kalpha_m, V0alpha_m, 
	       Abeta_m, Kbeta_m, V0beta_m, celsius FROM -100 TO 30 WITH 13000
	a_m = alp_m(v)  
	b_m = bet_m(v) 
:	m_inf = a_m/(a_m + b_m) 
	m_inf = 1/(1+exp(-(v-V0_minf)/B_minf))
	tau_m = 5/(a_m + b_m) 
} 

FUNCTION linoid(x (mV),y (mV)) (mV) {
        if (fabs(x/y) < 1e-6) {
                linoid = y*(1 - x/y/2)
        }else{
                linoid = x/(exp(x/y) - 1)
        }
}



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