Learning functions for Projections.
For example, CFProjectionLearningFunctions compute a new set of
ConnectionFields when given an input and output pattern and a set of
ConnectionField objects.
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CFPLF_EuclideanHebbian
Hebbian CFProjection learning rule based on Euclidean distance.
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CFPLF_Trace
LearningFn that incorporates a trace of recent activity,
not just the current activity.
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CFPLF_OutstarHebbian
CFPLearningFunction applying the specified (default is Hebbian)
single_cf_fn to each CF, where normalization is done in an outstar-manner.
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HomeoSynaptic
Learning function using homeostatic synaptic scaling from
Sullivan & de Sa, "Homeostatic Synaptic Scaling in Self-Organizing Maps",
Neural Networks (2006), 19(6-7):734-43.
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CFPLF_PluginScaled
CFPLearningFunction applying the specified single_cf_fn to each CF.
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