The human brain is known to store various memories for long periods of time, progressively learning from new experiences and forming adaptive representations that ultimately guide decision-making and ...

Presented at IEDM 2016, Breakthrough Suggests Path to Embedding Neuromorphic Learning in Low-power Devices that Could Enable Autonomous Systems Leti researchers have demonstrated that memristive ...

Comprehensive overview of high-entropy oxides (HEOs) in memristive devices, emphasizing their potential in neuromorphic computing and their ability to simulate synaptic plasticity and multilevel ...

Neuroscientists have long speculated that information storage would likely be more permanent if changes in synaptic strength were accompanied by some sort of morphological alteration in the brain, in ...