Brain inspired cognitive system for learning and memory

Authors:
Huajin Tang;Weiwei Huang
Affiliations:
Cognitive Computing Group Institute for Infocomm Research, Agency for Science Technology and Research, Singapore;Cognitive Computing Group Institute for Infocomm Research, Agency for Science Technology and Research, Singapore
Venue:
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part I
Year:
2011

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Abstract

Hippocampus, a major component of brain, plays an important role in learning and memory. In this paper, we present our brain-inspired cognitive model which combines a hippocampal circuitry together with hierarchical vision architecture. The structure of the simulated hippocampus is designed based on an approximate mammalian neuroanatomy. The connectivity between neural areas is based on known anatomical measurements. The proposed model could be used to explore the memory property and its corresponding neuron activities in hippocampus. In our simulation test, the model shows the ability of recalling character images that it had been learned before.