SynapseLearning

class SynapseLearning

This synapse component holds data about short and long term learning for the synapse it is now owned by the brain so that the synpase bject is optimized for size it is basically a tabulation of values for the positive and negative hebbian learning updates to the USE value - when a spike shape arrives at a synapse, and a resulting PSG influences (whether positively or negatively) a resulting spike shape in the connected (receiving) cell, then the USE of this synapse is modified by some functional amount

Public Fields
char* name: name assigned to this object from the input file
int Learning: the index of the learning object used by this
vector <LearnTable *> vPosPrePeak: vector holding LearnTable objects for Positive Pre Peaks
vector <LearnTable *> vPosPostPeak: vector holding LearnTable objects for Positive Post Peaks
vector <LearnTable *> vNegPrePeak: vector holding LearnTable objects for Negative Pre Peaks
vector <LearnTable *> vNegPostPeak: vector holding LearnTable objects for Negative Post Peaks

Public Methods
SynapseLearning(): Default constructor
SynapseLearning(T_SYNLEARN *pSLS, int FSV, Random *RN): Constructor uses the intermediate synapse learning object
~SynapseLearning(): destructor
void SetSizes(): class size variables are set by calling size() function of vectors
int ReturnLearnType()
void SynapseLearnStateSave(FILE *): Save synapse learning to file
void SynapseLearnLoad(FILE *, char *): Load synapse Learning from file

Documentation

This synapse component holds data about short and long term learning for the synapse it is now owned by the brain so that the synpase bject is optimized for size it is basically a tabulation of values for the positive and negative hebbian learning updates to the USE value - when a spike shape arrives at a synapse, and a resulting PSG influences (whether positively or negatively) a resulting spike shape in the connected (receiving) cell, then the USE of this synapse is modified by some functional amount. This object provides the value by which the USE should be updated, given a specific input parameter
this object is owned by the Brain, and accessed by the individual synapses thru encapsulate functions within the brain object