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- W3209650983 abstract "We propose a novel concept of a hardware implementation of high-dimensional neurons with the aim of a functional simulation of the human hippocampus. To implement a high-dimensional neuron, we suggest using the arrays of trainable memristive devices as part of the custom-made software-hardware system to provide full neuronal functionality with fine-tuning of synaptic weights according to the self-learning rule. The proposed architecture can enable new efficient approaches to processing big data in artificial intelligence (AI) systems and a new generation of robots." @default.
- W3209650983 created "2021-11-08" @default.
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- W3209650983 date "2021-09-13" @default.
- W3209650983 modified "2023-10-02" @default.
- W3209650983 title "Memristive Concept of a High-Dimensional Neuron" @default.
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- W3209650983 doi "https://doi.org/10.1109/cnn53494.2021.9580310" @default.
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