Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation (Luque et al 2019)

 Download zip file   Auto-launch 
Help downloading and running models
Accession:256140
"Cerebellar Purkinje cells mediate accurate eye movement coordination. However, it remains unclear how oculomotor adaptation depends on the interplay between the characteristic Purkinje cell response patterns, namely tonic, bursting, and spike pauses. Here, a spiking cerebellar model assesses the role of Purkinje cell firing patterns in vestibular ocular reflex (VOR) adaptation. The model captures the cerebellar microcircuit properties and it incorporates spike-based synaptic plasticity at multiple cerebellar sites. ..."
Reference:
1 . Luque NR, Naveros F, Carrillo RR, Ros E, Arleo A (2019) Spike burst-pause dynamics of Purkinje cells regulate sensorimotor adaptation. PLoS Comput Biol 15:e1006298 [PubMed]
Citations  Citation Browser
Model Information (Click on a link to find other models with that property)
Model Type: Neuron or other electrically excitable cell; Realistic Network;
Brain Region(s)/Organism: Cerebellum;
Cell Type(s): Cerebellum Purkinje GABA cell; Cerebellum interneuron granule GLU cell; Vestibular neuron; Abstract integrate-and-fire leaky neuron;
Channel(s): I K; I Na,t; I L high threshold; I M;
Gap Junctions:
Receptor(s): AMPA; Gaba;
Gene(s):
Transmitter(s):
Simulation Environment: EDLUT; NEURON; MATLAB;
Model Concept(s): Activity Patterns; Sleep; Long-term Synaptic Plasticity; Vestibular;
Implementer(s): Luque, Niceto R. [nluque at ugr.es];
Search NeuronDB for information about:  Cerebellum Purkinje GABA cell; Cerebellum interneuron granule GLU cell; AMPA; Gaba; I Na,t; I L high threshold; I K; I M;
/
LuqueEtAl2019
NEURON
Purk_gCa.mod
Purk_gK.mod
Purk_gM.mod
Purk_gNa.mod
Purk_lkg.mod
                            
TITLE Purkinje simplified Cell model

COMMENT
        K channel
        
        Authors: Niceto R. Luque & Richard R. Carrillo
		Last revised: 13.9.2018
		Paper related:Burst-pause Purkinje dynamics regulate motor adaptation
   
ENDCOMMENT
 
NEURON { 
	SUFFIX Purk_gK
	USEION k READ ek WRITE ik 
	RANGE gkbar, ik, g


	RANGE n_inf, tau_n, n
} 
 
UNITS { 
	(mA) = (milliamp) 
	(mV) = (millivolt) 
	(molar) = (1/liter)
	(mM) = (millimolar)
} 
 
PARAMETER { 

	v (mV) 
	gkbar= 0.01 (mho/cm2)
	ek = -95 (mV)
} 

STATE { 
	n 
} 

ASSIGNED { 
	ik (mA/cm2) 

	n_inf 
	tau_n (ms) 
	g (mho/cm2)
} 
 
INITIAL { 
	rate(v) 
	n = n_inf 
} 
 
BREAKPOINT { 
	SOLVE states METHOD derivimplicit 
	g = gkbar*n*n*n*n
	ik = g*(v - ek)
} 
 
DERIVATIVE states { 
	rate(v) 
	n' =(n_inf - n)/tau_n
} 
 
 
PROCEDURE rate(v (mV)) {
   if (v<=-10) {
      tau_n = 0.25 + 4.35 * exp((v + 10)/10)
   } else {
      tau_n = 0.25 + 4.35 * exp((-v - 10)/10)
   }

   n_inf = 1/(1 + exp((-v - 29.5)/10))
}