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A Cognitive Architecture for Visual Memory Identification

A Cognitive Architecture for Visual Memory Identification

Karina Jaime, Gustavo Torres, Félix Ramos, Gregorio Garcia-Aguilar
Copyright: © 2014 |Volume: 6 |Issue: 2 |Pages: 15
ISSN: 1942-9045|EISSN: 1942-9037|EISBN13: 9781466656819|DOI: 10.4018/ijssci.2014040104
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MLA

Jaime, Karina, et al. "A Cognitive Architecture for Visual Memory Identification." IJSSCI vol.6, no.2 2014: pp.63-77. http://doi.org/10.4018/ijssci.2014040104

APA

Jaime, K., Torres, G., Ramos, F., & Garcia-Aguilar, G. (2014). A Cognitive Architecture for Visual Memory Identification. International Journal of Software Science and Computational Intelligence (IJSSCI), 6(2), 63-77. http://doi.org/10.4018/ijssci.2014040104

Chicago

Jaime, Karina, et al. "A Cognitive Architecture for Visual Memory Identification," International Journal of Software Science and Computational Intelligence (IJSSCI) 6, no.2: 63-77. http://doi.org/10.4018/ijssci.2014040104

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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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