ModelDB is moving. Check out our new site at https://modeldb.science. The corresponding page is https://modeldb.science/256140.

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

 Download zip file 
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]
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
EDLUT
Articulo purkinje
CASE_B
src
neuron_model
BufferedState.cpp *
EgidioGranuleCell_TimeDriven.cpp *
EgidioGranuleCell_TimeDriven_GPU.cu *
EventDrivenNeuronModel.cpp *
LIFTimeDrivenModel_1_2.cpp *
LIFTimeDrivenModel_1_2_GPU.cu *
LIFTimeDrivenModel_1_4.cpp *
LIFTimeDrivenModel_1_4_GPU.cu *
NeuronModel.cpp *
NeuronModelTable.cpp *
NeuronState.cpp *
SRMState.cpp *
SRMTableBasedModel.cpp *
SRMTimeDrivenModel.cpp *
TableBasedModel.cpp *
TableBasedModelHF.cpp *
TimeDrivenNeuronModel.cpp *
TimeDrivenNeuronModel_GPU.cu *
TimeDrivenPurkinjeCell.cpp *
Vanderpol.cpp *
VectorBufferedState.cpp *
VectorNeuronState.cpp *
VectorNeuronState_GPU.cpp *
VectorSRMState.cpp *
                            
/***************************************************************************
 *                           TimeDrivenNeuronModel.cpp                     *
 *                           -------------------                           *
 * copyright            : (C) 2011 by Jesus Garrido                        *
 * email                : jgarrido@atc.ugr.es                              *
 ***************************************************************************/

/***************************************************************************
 *                                                                         *
 *   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(){
	return TIME_DRIVEN_MODEL_CPU;
}

void TimeDrivenNeuronModel::CalculateTaskSizes(int N_neurons, int minimumSize){
	//Calculate number of OpenMP task and size of each one.
	NumberOfOpenMPTasks=(N_neurons+minimumSize-1)/minimumSize;
	if(NumberOfOpenMPTasks>NumberOfOpenMPThreads){
		NumberOfOpenMPTasks=NumberOfOpenMPThreads;
	}

	LimitOfOpenMPTasks = new int[NumberOfOpenMPTasks+1];
	LimitOfOpenMPTasks[0]=0;
	int aux=(N_neurons+NumberOfOpenMPTasks-1)/NumberOfOpenMPTasks;
	for(int i=1; i<NumberOfOpenMPTasks; i++){
		LimitOfOpenMPTasks[i]=aux*i;
	}
	LimitOfOpenMPTasks[NumberOfOpenMPTasks]=N_neurons;
}

Loading data, please wait...