Abstract
Memory is an important process of human behavior. In particular visual memory encode, store, and retrieve acquired knowledge about the environment. The visual memory system involves different kinds of processes, such as sensory input and short-term visual memory. The model presents a first approach for visual memory recognition that supports the three stages mentioned above. The model design is based on neuroscience results. The model consists of nodes. Each node represents a brain area that is involved in the visual memory system. The nodes run in a distributed system and send messages with visual memory information. This document presents only the memory system specifications that support a cognitive architecture for visual object identification. The authors validated the model with two case studies: known and unknown stimulus.
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