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diff --git a/code/core/neuron.h b/code/core/neuron.h
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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