Perturbation sensitivity implies high noise and suggests rate coding in cortex (London et al. 2010)

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Accession:144027
"... The network simulations were also based on a previously published model(Latham et al. 2000), but with modifications to allow the addition and detection of extra spikes (see Supplementary Information, section 7)."
Reference:
1 . London M, Roth A, Beeren L, Häusser M, Latham PE (2010) Sensitivity to perturbations in vivo implies high noise and suggests rate coding in cortex. Nature 466:123-7 [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: Neocortex;
Cell Type(s):
Channel(s):
Gap Junctions:
Receptor(s):
Gene(s):
Transmitter(s):
Simulation Environment: C or C++ program;
Model Concept(s): Activity Patterns;
Implementer(s):
#ifndef RUNGE_KUTTA_H
#define RUNGE_KUTTA_H

//  headers
#include <stdlib.h>
#include "derivs.h"
#include "float2.h"

//  definitions

//  prototypes
class runge_kutta
{
private:
	float **dx1, **dx2, **dx3, **dx4;
	float2 xint;

public:
	// constructor
	runge_kutta(int n, int* m);
	runge_kutta(int n, int mm);

	// fourth order Runge-Kutta
	void rk4(derivs& dxdt, float2& x, float& t, float dt);

	// second order Runge-Kutta
	void rk2(derivs& dxdt, float2& x, float& t, float dt);
};

#endif