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.
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Tang, H., Huang, W. (2011). Brain Inspired Cognitive System for Learning and Memory. In: Lu, BL., Zhang, L., Kwok, J. (eds) Neural Information Processing. ICONIP 2011. Lecture Notes in Computer Science, vol 7062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-24955-6_57
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DOI: https://doi.org/10.1007/978-3-642-24955-6_57
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