Q Xia, JJ Yang - Nature materials, 2019 - nature.com
With their working mechanisms based on ion migration, the switching dynamics and electrical behaviour of memristive devices resemble those of synapses and neurons, making …
Neuromorphic computing based on emerging devices could overcome the von Neumann bottleneck—the restriction created by having to transfer data between memory and …
Neural networks based on memristive devices,–have the ability to improve throughput and energy efficiency for machine learning, and artificial intelligence, especially in edge …
R Yuan, Q Duan, PJ Tiw, G Li, Z Xiao, Z Jing… - Nature …, 2022 - nature.com
Neuromorphic perception systems inspired by biology have tremendous potential in efficiently processing multi-sensory signals from the physical world, but a highly efficient …
The global demand for data storage and processing has increased exponentially in recent decades. To respond to this demand, research efforts have been devoted to the …
As a key building block of biological cortex, neurons are powerful information processing units and can achieve highly complex nonlinear computations even in individual cells …
The lobula giant movement detector (LGMD) is the movement-sensitive, wide-field visual neuron positioned in the third visual neuropile of lobula. LGMD neuron can anticipate …
R Yuan, PJ Tiw, L Cai, Z Yang, C Liu, T Zhang… - Nature …, 2023 - nature.com
Physiological signal processing plays a key role in next-generation human-machine interfaces as physiological signals provide rich cognition-and health-related information …
Developing a single-phase self-rectifying memristor with the continuously tunable feature is structurally desirable and functionally adaptive to dynamic environmental stimuli variations …