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]
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 DERIVS_H
#define DERIVS_H

#include "float2.h"
#include "network.h"

class derivs
{
private:
	int	neurons;
	float	*alpha, *deltai, *drho, *ihat, *mu, *rho, *tau;
	float	e_e, e_i, tau_s[2];

public:
	// number of variables
	int no_vars;

	// constructor
	derivs() {};

	// initialize
	void init_z(network& p, float2& z);

	// set parameters
	void set_params(network& p);

	// compute derivateves
	void func(float** dz, float2& z, float t);

	// destructor
	~derivs() {};

};

#endif

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