Class LinearNeuron

    object --+                
             |                
   ??.instance --+            
                 |            
  SimObjectFactory --+        
                     |        
             SimObject --+    
                         |    
    object --+           |    
             |           |    
   ??.instance --+       |    
                 |       |    
CurrentInputTarget --+   |    
                     |   |    
ConductanceInputTarget --+    
                         |    
         AnalogPointNeuron --+
                             |
                            LinearNeuron

Help on LinearNeuron [class]:
This class implements a neuron which just adds up all its inputs (synapses and analog messages) in a linear fashion 

 If there are no Conductance based synapses the output \f$Vm\f$ is given by 
 \f[ 
 Vm = Rm  ( Isyn + Iinject + noise ) 
 \f] 
 If there are conductance based synapses the output \f$Vm\f$ is given by 
 \f[ 
 Vm = ( Isyn + Iinject + noise )  ( Gsyn + 1  Rm ) 
 \f] 
 \$fIsyn\f$ is the total synaptic input 
 \$fGsyn\f$ is the total amount of conductance supplied by the conductance based synapses 
 \f$Iinject\f$ is some constant base current injection 
 \f$noise\f$ is a gaussian random variable with a standard deviation of Inoise 
 \f$Rm\f$ is the membrane resistance (which acts just as a scaling factor in this case