Class LifNeuron

     object --+                
              |                
    ??.instance --+            
                  |            
   SimObjectFactory --+        
                      |        
              SimObject --+    
                          |    
     object --+           |    
              |           |    
    ??.instance --+       |    
                  |       |    
        SpikeSender --+   |    
                      |   |    
SingleOutputSpikeSender --+    
                          |    
              LifNeuronBase --+
                              |
             object --+       |
                      |       |
            ??.instance --+   |
                          |   |
         CurrentInputTarget --+
                              |
                             LifNeuron

Known Subclasses:

• CompositeNeuron_LifNeuron
• , DARecvLifNeuron
• , EvLifNeuron

Help on LifNeuron [class]:
 A leaky-integrate-and-fire (I&F) neuron. 
 
   
  

### Model


  
  A standard leaky-integrate-and-fire neuron model is implemented 
  where the membrane potential \f$V_m\f$ of a neuron is given by 
  \f[ 
  \tau_m \frac{d V_m}{dt} = -(V_m-V_{resting}) + R_m \cdot (I_{syn}(t)+I_{inject}+I_{noise}) 
  \f] 
  where \f$\tau_m=C_m\cdot R_m\f$ is the membrane time constant, 
  \f$R_m\f$ is the membrane resistance, \f$I_{syn}(t)\f$ is the 
  current supplied by the synapses, \f$I_{inject}\f$ is a 
  non-specific background current and \f$I_{noise}\f$ is a 
  Gaussion random variable with zero mean and a given variance 
  noise. 
  
  At time \f$t=0\f$ \f$V_m\f$ ist set to \f$V_{init}\f$. If 
  \f$V_m\f$ exceeds the threshold voltage \f$V_{thresh}\f$ it is 
  reset to \f$V_{reset}\f$ and hold there for the length 
  \f$T_{refract}\f$ of the absolute refractory period. 
  
   
  

### Implementation


  
  The exponential Euler method is used for numerical integration.