A Spatio-Temporal Learning Rule Based on the Physiological Data of LTP Induction in the Hippocampal CA1 Network

We studied the LTP inducing factors using temporally and spatially modulated stimuli given to the hippocampal neural network. It was found that when the spatial factors were maintained to be constant the positive correlation in the successive inter-stimulus intervals contributes to produce larger LTP. On the other hand, if the temporal factors are kept constant, the spatial coinsidence contributes to poroduce lager LTP. We propose a learning rule by which these experimental results can be consistently interpreted.