Class AnalogPointNeuron

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

Known Subclasses:

• LinearNeuron

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

 This class is inteden to be used as the base class for all "artificial" analog neuron types. 
 
 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