ModelDB is moving. Check out our new site at The corresponding page is

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

 Download zip file 
Help downloading and running models
"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. ..."
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]
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;
Simulation Environment: EDLUT; NEURON; MATLAB;
Model Concept(s): Activity Patterns; Sleep; Long-term Synaptic Plasticity; Vestibular;
Implementer(s): Luque, Niceto R. [nluque at];
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;
Articulo purkinje
BufferedState.cpp *
EgidioGranuleCell_TimeDriven.cpp * *
EventDrivenNeuronModel.cpp *
LIFTimeDrivenModel_1_2.cpp * *
LIFTimeDrivenModel_1_4.cpp * *
NeuronModel.cpp *
NeuronModelTable.cpp *
NeuronState.cpp *
SRMState.cpp *
SRMTableBasedModel.cpp *
SRMTimeDrivenModel.cpp *
TableBasedModel.cpp *
TableBasedModelHF.cpp *
TimeDrivenNeuronModel.cpp * *
TimeDrivenPurkinjeCell.cpp *
Vanderpol.cpp *
VectorBufferedState.cpp *
VectorNeuronState.cpp *
VectorNeuronState_GPU.cpp *
VectorSRMState.cpp *
 *                           TimeDrivenNeuronModel.cpp                     *
 *                           -------------------                           *
 * copyright            : (C) 2011 by Jesus Garrido                        *
 * email                :                              *

 *                                                                         *
 *   This program is free software; you can redistribute it and/or modify  *
 *   it under the terms of the GNU General Public License as published by  *
 *   the Free Software Foundation; either version 3 of the License, or     *
 *   (at your option) any later version.                                   *
 *                                                                         *

#include "../../include/neuron_model/TimeDrivenNeuronModel.h"
#include "../../include/neuron_model/NeuronModel.h"

#include "../../include/openmp/openmp.h"

TimeDrivenNeuronModel::TimeDrivenNeuronModel(string NeuronTypeID, string NeuronModelID): NeuronModel(NeuronTypeID, NeuronModelID){
	// TODO Auto-generated constructor stub


TimeDrivenNeuronModel::~TimeDrivenNeuronModel() {
	delete integrationMethod;

	delete [] LimitOfOpenMPTasks;

enum NeuronModelType TimeDrivenNeuronModel::GetModelType(){

void TimeDrivenNeuronModel::CalculateTaskSizes(int N_neurons, int minimumSize){
	//Calculate number of OpenMP task and size of each one.

	LimitOfOpenMPTasks = new int[NumberOfOpenMPTasks+1];
	int aux=(N_neurons+NumberOfOpenMPTasks-1)/NumberOfOpenMPTasks;
	for(int i=1; i<NumberOfOpenMPTasks; i++){

Loading data, please wait...