Information transmission in cerebellar granule cell models (Rossert et al. 2014)

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" ... In this modeling study we analyse how electrophysiological granule cell properties and spike sampling influence information coded by firing rate modulation, assuming no signal-related, i.e., uncorrelated inhibitory feedback (open-loop mode). A detailed one-compartment granule cell model was excited in simulation by either direct current or mossy-fiber synaptic inputs. Vestibular signals were represented as tonic inputs to the flocculus modulated at frequencies up to 20 Hz (approximate upper frequency limit of vestibular-ocular reflex, VOR). Model outputs were assessed using estimates of both the transfer function, and the fidelity of input-signal reconstruction measured as variance-accounted-for. The detailed granule cell model with realistic mossy-fiber synaptic inputs could transmit infoarmation faithfully and linearly in the frequency range of the vestibular-ocular reflex. ... "
1 . Rössert C, Solinas S, D'Angelo E, Dean P, Porrill J (2014) Model cerebellar granule cells can faithfully transmit modulated firing rate signals. Front Cell Neurosci 8:304 [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; Synapse;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s): Cerebellum interneuron granule GLU cell;
Gap Junctions:
Simulation Environment: NEURON; Python;
Model Concept(s): Action Potentials; Markov-type model;
Implementer(s): Solinas, Sergio [solinas at]; Roessert, Christian [christian.a at];
Search NeuronDB for information about:  Cerebellum interneuron granule GLU cell;
TITLE Cerebellum Granule Cell Model

        Na channel
	Gutfreund parametrization
	Author: E.D'Angelo, T.Nieus, A. Fontana
	Last revised: 8.5.2000
	USEION na READ ena WRITE ina 
	RANGE Q10_diff,Q10_channel,gbar_Q10, gbar
	RANGE gnabar, ic, g, alpha_m, beta_m, alpha_h, beta_h 
	RANGE Aalpha_m, Kalpha_m, V0alpha_m
	RANGE Abeta_m, Kbeta_m, V0beta_m

	RANGE Aalpha_h, Kalpha_h, V0alpha_h
	RANGE Abeta_h, Kbeta_h, V0beta_h

	RANGE m_inf, tau_m, h_inf, tau_h 
	RANGE alpha_m, beta_m, alpha_h, beta_h
	RANGE Q10_channel_alp_m, Q10_channel_bet_m,Q10_channel_alp_h,Q10_channel_bet_h
	(mA) = (milliamp) 
	(mV) = (millivolt) 

	Aalpha_m = -0.3 (/ms-mV)
	Kalpha_m = -10 (mV)
	V0alpha_m = -19 (mV)
	Abeta_m = 12 (/ms)
	Kbeta_m = -18.182 (mV)
	V0beta_m = -44 (mV)

	Aalpha_h  = 0.105 (/ms)
	Kalpha_h  = -3.333 (mV)
	V0alpha_h = -44 (mV)
	Abeta_h  = 0.75 (/ms)
	Kbeta_h  = -5 (mV)
	V0beta_h = -11 (mV)

	v (mV) 
	Q10_diff	= 1.5
	Q10_channel_alp_m	= 3
	Q10_channel_bet_m	= 3
	Q10_channel_alp_h	= 3
	Q10_channel_bet_h	= 3
	gbar	=  0.013 (mho/cm2)
	ena 	= 87.39 (mV) 
	celsius (degC)


	ina (mA/cm2) 
	ic (mA/cm2) 
	tau_m (ms) 
	tau_h (ms) 
	g (mho/cm2) 
	alpha_m (/ms)
	beta_m (/ms)
	alpha_h (/ms)
	beta_h (/ms)
	gbar_Q10 (mho/cm2)
	gbar_Q10 = gbar*(Q10_diff^((celsius-30)/10))
	m = m_inf 
	h = h_inf 
	SOLVE states METHOD cnexp 
	g = gbar_Q10*m*m*m*h 
	ina = g*(v - ena)
	ic = ina
	alpha_m = alp_m(v)
	beta_m = bet_m(v) 
	alpha_h = alp_h(v)
	beta_h = bet_h(v) 
DERIVATIVE states { 
	m' =(m_inf - m)/tau_m 
	h' =(h_inf - h)/tau_h 
FUNCTION alp_m(v(mV))(/ms) { LOCAL Q10
	Q10 = Q10_channel_alp_m^((celsius-20(degC))/10(degC)) 
	alp_m = Q10*Aalpha_m*linoid(v-V0alpha_m,Kalpha_m) 
FUNCTION bet_m(v(mV))(/ms) { LOCAL Q10
	Q10 = Q10_channel_bet_m^((celsius-20(degC))/10(degC)) 
	bet_m = Q10*Abeta_m*exp((v-V0beta_m)/Kbeta_m) 
FUNCTION alp_h(v(mV))(/ms) { LOCAL Q10
	Q10 = Q10_channel_alp_h^((celsius-20(degC))/10(degC)) 
	alp_h = Q10*Aalpha_h*exp((v-V0alpha_h)/Kalpha_h) 
FUNCTION bet_h(v(mV))(/ms) { LOCAL Q10 
    Q10 = Q10_channel_bet_h^((celsius-20(degC))/10(degC)) 
    bet_h = Q10*Abeta_h/(1+exp((v-V0beta_h)/Kbeta_h))
PROCEDURE rate(v (mV)) {LOCAL a_m, b_m, a_h, b_h 
	TABLE m_inf, tau_m, h_inf, tau_h 
	DEPEND Aalpha_m, Kalpha_m, V0alpha_m, 
	       Abeta_m, Kbeta_m, V0beta_m,
               Aalpha_h, Kalpha_h, V0alpha_h,
               Abeta_h, Kbeta_h, V0beta_h, celsius, Q10_channel_bet_h, Q10_channel_alp_h, Q10_channel_bet_m, Q10_channel_alp_m FROM -100 TO 30 WITH 13000 
	a_m = alp_m(v)  
	b_m = bet_m(v) 
	a_h = alp_h(v)  
	b_h = bet_h(v) 
	m_inf = a_m/(a_m + b_m) 
	tau_m = 1/(a_m + b_m) 
	h_inf = a_h/(a_h + b_h) 
	tau_h = 1/(a_h + b_h) 
	:if (tau_h<0.1 (ms)) {tau_h=0.1 (ms)} : riga aggiunta il 10 giugno 2003

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