We propose a new multidirectional associative memory (MAM) termed combined multi-winner MAM (CMW-MAM) using a distributed representation paradigm in this paper. The proposed CMW-MAM stores and recalls information hierarchically by the distributed representations which are automatically generated in the networks. The proposed CMW-MAM can handle analog information and it can store and recall composite many-to-many memory structures such as episodes-to-episodes associations. The association properties for the storage of composite many-to-many memory structures such as associations from some episodes to other episodes are studied. The basic properties for many-to-many association such as storage capacity, noise performance and robustness are also investigated in detail.
ASJC Scopus subject areas
- Computer Science Applications
- Cognitive Neuroscience
- Artificial Intelligence