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We examine a previouly introduced attractor neural network model thatexplains the persistent activities of neurons in the anterior ventral temporalcortex of the brain. In this model, the coexistence of several attractorsincluding correlated attractors was reported in the cases of finite andinfinite loading. In this paper, by means of a statistical mechanical method,we study the statics and dynamics of the model in both finite and extensiveloading, mainly focusing on the retrieval properties of the Hopfield andcorrelated attractors. In the extensive loading case, we derive the evolutionequations by the dynamical replica theory. We found several characteristictemporal behaviours, both in the finite and extensive loading cases. Thetheoretical results were confirmed by numerical simulations.Comment: 12 pages, 7 figure

Retrieval Properties of Hopfield and Correlated Attractors in an Associative Memory Model