// This file is a part of the Framsticks GDK.
// Copyright (C) 2002-2014  Maciej Komosinski and Szymon Ulatowski.  See LICENSE.txt for details.
// Refer to http://www.framsticks.com/ for further information.

#ifndef _NEUROIMPLSIMPLE_H_
#define _NEUROIMPLSIMPLE_H_

#include <frams/neuro/neuroimpl.h>
#include <common/nonstd_math.h>

extern ParamEntry NI_StdNeuron_tab[];

class NI_StdNeuron: public NeuroImpl
{
  protected:
double istate, velocity;
void calcInternalState();
virtual void calcOutput();
  public:
double inertia,force,sigmo;
NI_StdNeuron():velocity(0)
#ifdef MODEL_V1_COMPATIBLE
	,inertia(-1),force(-1),sigmo(1e10)// illegal values, will be adjusted in lateinit()
#else
	,inertia(0),force(0),sigmo(0)
#endif
	{paramentries=NI_StdNeuron_tab;}
NeuroImpl* makeNew(){return new NI_StdNeuron();} // for NeuroFactory
int lateinit();
void go();
};

extern ParamEntry NI_StdUNeuron_tab[];

class NI_StdUNeuron: public NI_StdNeuron
{
  public:
NI_StdUNeuron()
	{paramentries=NI_StdUNeuron_tab;}
NeuroImpl* makeNew(){return new NI_StdUNeuron();} // for NeuroFactory
void calcOutput();
};

class NI_Const: public NeuroImpl
{
public:
NeuroImpl* makeNew(){return new NI_Const();} // for NeuroFactory
int lateinit()
	{
	neuro->state=newstate=1.0;
	simorder=0;
	return 1;
	}
};

class NI_Diff : public NeuroImpl
{
double previous;      
  public:
NeuroImpl* makeNew() { return new NI_Diff(); };

void go()
	{
	double s=getWeightedInputSum();
	setState(s-previous);
	previous=s;
	}
int lateinit()
	{
	NeuroImpl::lateinit();
	previous=neuro->state;
	return 1;
	}
};

class NI_Random : public NeuroImpl
{
  public:
NeuroImpl* makeNew() { return new NI_Random(); };
void go() {setState(rnd01*2.0-1.0);}
};

extern ParamEntry NI_Sinus_tab[];

class NI_Sinus : public NeuroImpl
{
  public:
double f0,t;
NeuroImpl* makeNew() { return new NI_Sinus(); };
NI_Sinus():f0(0),t(0)
	{paramentries=NI_Sinus_tab;}
void go()
	{
	t+=f0+getWeightedInputSum();
	setState(sin(t));
	}
};

#endif