Input Influenced from Excitatory Inputs (IIE) - The amount of influence this neuron has exercised over the excitatory inputs of other neurons.

For each signal propagation pass: Total modulated production of all the excitatory synapses this neuron's Axon Level (AL) makes contact with.

In floating point it looks something like this:

II_E_this+=AL_this * Weight_k      (where 'k' is all the excitatory weights contacted by AL_this)

II_E is a Netlab term with no direct analog in the study of biological neural networks. It is based on a new learning method, which is referred to in Netlab as Influence Learning.



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Resources

• Introducing Influence Learning
• Biological Underpinnings of Influence Learning
• Influence Learning Gets A Patent