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Autor:
Mannion, Daniel John
Sophisticated machine learning struggles to transition onto battery-operated devices due to the high-power consumption of neural networks. Researchers have turned to neuromorphic engineering, inspired by biological neural networks, for more efficient
Externí odkaz:
http://arxiv.org/abs/2311.12861
Bio-inspired computing has focused on neuron and synapses with great success. However, the connections between these, the dendrites, also play an important role. In this paper, we investigate the motivation for replicating dendritic computation and p
Externí odkaz:
http://arxiv.org/abs/2304.00951
Autor:
Buckwell, Mark, Ng, Wing Hung, Mannion, Daniel John, Hudziak, Stephen, Mehonic, Adnan, Kenyon, Anthony Joseph
Resistive random-access memories, also known as memristors, whose resistance can be modulated by the electrically driven formation and disruption of conductive filaments within an insulator, are promising candidates for neuromorphic applications due
Externí odkaz:
http://arxiv.org/abs/2010.15184
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