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Developing Deep Learning Models to Simulate Human Declarative Episodic Memory Storage
2019
International Journal of Advanced Computer Science and Applications
Human like visual and auditory sensory devices became very popular in recent years through the work of deep learning models that incorporate aspects of brain processing such as edge and line detectors found in the visual cortex. However, very little work has been done on the human memory, and thus our aim is to model human long-term declarative episodic memory storage using deep learning methods. An innovative way of deep neural network was created on supervised feature learning dataset such as
doi:10.14569/ijacsa.2019.0100302
fatcat:atuzlwdcdvenflqx2hkhaj3jlm