Associative Memory Network with Dynamic Synapses

We investigate the dynamical properties of an associative memory network with dynamic synapses whose connection strength changes with shortterm plasticity (STP) mechanism. We use a network model composed of stochastic neurons and dynamic synapses and a corresponding mean field model. In the present study, we focuses on influences of the facilitation synapses whose connection strength is strengthened by the STP. We report that the facilitation synapses contribute to the stabilization of memory association and that the bifurcation analysis on the mean field model clarifies the stability in its macroscopic dynamics. Furthermore, the synaptic facilitation causes several types of transitive dynamics among multiple memory patterns.