| Abstract | Based on the findings that certain types of Long Term Potentiation
(LTP) and Long Term Depression (LTD) are found to be dependent on the
inflow of Ca following a postsynaptic depolarization, a model of
synaptic plasticity is proposed. This is done by the suggestion of an
`imaginary' function, the conversion function, intended to mimic the
underlying behavior of the Ca level.
The model incorporates the dynamic effects, depression and
facilitation, found to occur at specific synapses, caused
by presynaptic depletion and presynaptic residual Ca
phenomena. The proposed model combines the short term dynamics with
the longer lasting plastic effects.
The computational implications are investigated and it is found that
like the model proposed by Song et al. this synapse produces
stable competitive learning.
The model involves some level of biological realism as it
demonstrated the ability to comply with the features seen in
connection with long term potentiation: Cooperativity, associativity,
and specificity. |