Suppression of Retrieval States in Spin-Glass-Like Model of Neural Networks with Random Neuronal Threshold
Yu-qiang Ma, Yueming Zhang, Chang-De Gong · Communications in Theoretical Physics · 1992
We propose a mechanism to consider the effects of the random neuronal threshold on the retrieval properties of neural networks. The retrieval properties of the fully asymmetric Sherrington-Kirkpatrick (SK) and Hopfield models are studied, respectively. We show that the ferromagnetic retrieval states are destroyed by fluctuations induced by random neuronal thresholds.