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/*************************************************************
neuron.h
implementation the axon hillock
STORES
* current tuning of neuron body (parameters)
* list of synapses (-> connections to other neurons)
**************************************************************/
#ifndef NEURON_H
#define NEURON_H
#include <boost/intrusive/slist.hpp>
#include "synapse.h"
using namespace boost::intrusive;
typedef slist<Synapse, member_hook<Synapse, slist_member_hook<>, &Synapse::hook_dst> > SynapseDstList;
typedef slist<Synapse, member_hook<Synapse, slist_member_hook<>, &Synapse::hook_src> > SynapseSrcList;
class Neuron {
public:
Neuron();
void init();
// functions operating on neuronal state
double evolve(double time);
double processCurrent(double time, double current);
double generateSpike(double time, bool &doesOccur);
double predictSpike(double time);
void intrinsicPlasticity(double td);
// reflection
template<class Action> bool reflect(Action &a);
typedef int id_type;
static id_type numElements();
static Neuron * singleton(int num); // return neuron # num
// list of outgoing and incoming synapses
SynapseSrcList sin;
SynapseDstList sout;
//Synapse **sin, *sout;// list of _in_coming and _out_going _s_ynapses; HINT: sin is a list of pointers to synapses in the corresponding outgoing neuron
// basic neuron properties
double voltage; // [V]
double refractoryTime; // [s]
// IP related
bool ip; // if this neuron has IP at all
double ip_est_mom1, ip_est_mom2; // estimated moments (using exponential sliding average (exact integration))
double ip_dst_mom1, ip_dst_mom2; // targeted moments
double ip_R, ip_C; // internal correspondences to christinas model
double fac_voltage_tau, fac_current; // resulting coefficients for neuron behaviour
// local clocks
double lastEvent; // timepoint when the last event occured
double lastSpike;
};
const int numNeurons = 1000;
Neuron n[numNeurons];
#endif // NEURON_H
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