スパースコーディングされた自己相関型連想記憶モデルの統計神経力学

抄録

We analyse the dynamics of sparsely encoded associative memory models by means of the statistical neuro-dynamical method. Now the three methods are taken to control the activity of the neuron, (1) optimally controlled threshold at each step, (2) fixed optimal threshold which gives a maximal storage capacity, and (3) adding the fixed threshold to lateral inhibitions. We study the basin of attraction in each of three cases by the statistical neurodynamics and the computer simulations. And, we use continuous dynamics instead of discrete one to improve dynamical properties.