Generating oscillatory bursts from a network of regular spiking neurons (Shao et al. 2009)

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Avian nucleus isthmi pars parvocellularis (Ipc) neurons are reciprocally connected with the tectal layer 10 (L10) neurons and respond with oscillatory bursts to visual stimulation. To elucidate mechanisms of oscillatory bursting in this network of regularly spiking neurons, we investigated an experimentally constrained model of coupled leaky integrate-and-fire neurons with spike-rate adaptation. The model reproduces the observed Ipc oscillatory bursting in response to simulated visual stimulation.
1 . Shao J, Lai D, Meyer U, Luksch H, Wessel R (2009) Generating oscillatory bursts from a network of regular spiking neurons without inhibition. J Comput Neurosci 27:591-606 [PubMed]
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Model Information (Click on a link to find other models with that property)
Model Type: Realistic Network;
Brain Region(s)/Organism:
Cell Type(s):
Gap Junctions:
Receptor(s): AMPA;
Transmitter(s): Acetylcholine; Glutamate;
Simulation Environment: C or C++ program;
Model Concept(s): Bursting; Oscillations; Vision;
Implementer(s): Lai, Dihui [dlai at];
Search NeuronDB for information about:  AMPA; Acetylcholine; Glutamate;
#ifndef _SYNAPSE_H
#define _SYNAPSE_H
//Synapse class
#include "Neuron.h"
class Synapse
	  Synapse(double _tau1, double _tau2, double _gsynap, double _Esynap, 
      double _Ps, double _Ps1, double _Ps2);	//constructor

      void PreSpkSet(int PreSynapSpk){PreSpk=PreSynapSpk;}	//detecting the presynapic neuronal activity, PreSynapSpk;

      double Isynapout(){return (gsynap*Esynap*Ps);}         //output current sources;

      double gsynapout(){return (gsynap*Ps);}                //output conductances;

      void SynpProbUpdat(double dt);						//update each time step dt;

      void SynapDisp();										//output the synapse information into a file;
      double tau1, tau2, gsynap, Esynap, Ps,  Ps1, Ps2;
      int PreSpk;											//parameters and varialbes.