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_A
include
integration_method
BDFn.h *
BDFn_GPU.h *
BDFn_GPU2.h *
Euler.h *
Euler_GPU.h *
Euler_GPU2.h *
FixedStep.h *
FixedStepSRM.h *
IntegrationMethod.h *
IntegrationMethod_GPU.h *
IntegrationMethod_GPU2.h *
LoadIntegrationMethod.h *
LoadIntegrationMethod_GPU.h *
LoadIntegrationMethod_GPU2.h *
RK2.h *
RK2_GPU.h *
RK2_GPU2.h *
RK4.h *
RK4_GPU.h *
RK4_GPU2.h *
RK45.h *
                            
/***************************************************************************
 *                           LoadIntegrationMethod_GPU.h                   *
 *                           -------------------                           *
 * copyright            : (C) 2013 by Francisco Naveros                    *
 * email                : fnaveros@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.                                   *
 *                                                                         *
 ***************************************************************************/

#ifndef LOADINTEGRATIONMETHOD_GPU_H_
#define LOADINTEGRATIONMETHOD_GPU_H_

/*!
 * \file LoadIntegrationMethod_GPU.h
 *
 * \author Francisco Naveros
 * \date November 2013
 *
 * This file declares a class which load all integration methods in CPU for GPU.
 */

#include <string>
using namespace std;

#include "../../include/neuron_model/TimeDrivenNeuronModel_GPU2.h"

#include "./IntegrationMethod_GPU.h"
#include "./Euler_GPU.h"
#include "./RK2_GPU.h"
#include "./RK4_GPU.h"
#include "./BDFn_GPU.h"



#include "../../include/simulation/Utils.h"
#include "../../include/simulation/Configuration.h"




/*!
 * \class LoadIntegrationMethod_GPU
 *
 * \brief Load Integration methods in CPU for GPU
 *
 * \author Francisco Naveros
 * \date May 2013
 */
class LoadIntegrationMethod_GPU {
	protected:

	public:

		static IntegrationMethod_GPU * loadIntegrationMethod_GPU(FILE *fh, long * Currentline, int N_NeuronStateVariables, int N_DifferentialNeuronState, int N_TimeDependentNeuronState)throw (EDLUTFileException){
			IntegrationMethod_GPU * Method;
			char ident_type[MAXIDSIZE+1];

			skip_comments(fh,*Currentline);
			if(fscanf(fh,"%s",ident_type)==1){
				skip_comments(fh,*Currentline);

				//DEFINE HERE NEW INTEGRATION METHOD
				if(strncmp(ident_type,"Euler",5)==0){
					Method=(Euler_GPU *) new Euler_GPU(N_NeuronStateVariables, N_DifferentialNeuronState, N_TimeDependentNeuronState);
				}else if(strncmp(ident_type,"RK2",3)==0){
					Method=(RK2_GPU *) new RK2_GPU(N_NeuronStateVariables, N_DifferentialNeuronState, N_TimeDependentNeuronState);
				}else if(strncmp(ident_type,"RK4",3)==0){
					Method=(RK4_GPU *) new RK4_GPU(N_NeuronStateVariables, N_DifferentialNeuronState, N_TimeDependentNeuronState);
				}else if(strncmp(ident_type,"BDF",3)==0 && atoi(&ident_type[3])>0 && atoi(&ident_type[3])<7){
					Method=(BDFn_GPU *) new BDFn_GPU(N_NeuronStateVariables, N_DifferentialNeuronState, N_TimeDependentNeuronState, atoi(&ident_type[3]), ident_type);
				}else{
////NEW CODE------------------------------------------------------------------------------
					throw EDLUTFileException(4,7,6,1,*Currentline);
////--------------------------------------------------------------------------------------
				}

			}else{
//NEW CODE------------------------------------------------------------------------------
				throw EDLUTFileException(4,7,6,1,*Currentline);
//--------------------------------------------------------------------------------------
			}
			return Method;
		}

		

};




#endif /* LOADINTEGRATIONMETHOD_H_ */

Loading data, please wait...