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Neuro-inspired electronic skin for robots
Touch is a complex sensing modality owing to large number of receptors (mechano, thermal,
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …
pain) nonuniformly embedded in the soft skin all over the body. These receptors can gather …
Imperfection-enabled memristive switching in van der Waals materials
Memristive devices can offer dynamic behaviour, analogue programmability, and scaling
and integration capabilities. As a result, they are of potential use in the development of …
and integration capabilities. As a result, they are of potential use in the development of …
Artificial neuronal devices based on emerging materials: neuronal dynamics and applications
Artificial neuronal devices are critical building blocks of neuromorphic computing systems
and currently the subject of intense research motivated by application needs from new …
and currently the subject of intense research motivated by application needs from new …
Two-Dimensional Materials for Brain-Inspired Computing Hardware
Recent breakthroughs in brain-inspired computing promise to address a wide range of
problems from security to healthcare. However, the current strategy of implementing artificial …
problems from security to healthcare. However, the current strategy of implementing artificial …
Memristors based on NdNiO 3 nanocrystals film as sensory neurons for neuromorphic computing
By mimicking the behavior of the human brain, artificial neural systems offer the possibility to
further improve computing efficiency and solve the von Neumann bottleneck. In particular …
further improve computing efficiency and solve the von Neumann bottleneck. In particular …
Low-voltage solution-processed artificial optoelectronic hybrid-integrated neuron based on 2D MXene for multi-task spiking neural network
R Yu, X Zhang, C Gao, E Li, Y Yan, Y Hu, H Chen… - Nano Energy, 2022 - Elsevier
Incorporating optoelectronic integrated capability into artificial neurons can offer critical
benefits of tunable device properties, diverse functions, and efficient computing capacity for …
benefits of tunable device properties, diverse functions, and efficient computing capacity for …
Volatile threshold switching memristor: An emerging enabler in the AIoT era
With rapid advancement and deep integration of artificial intelligence and the internet-of-
things, artificial intelligence of things has emerged as a promising technology changing …
things, artificial intelligence of things has emerged as a promising technology changing …
Configurable NbOx Memristors as Artificial Synapses or Neurons Achieved by Regulating the Forming Compliance Current for the Spiking Neural Network
For the first time, a configurable NbOx memristor is achieved that can be configured as an
artificial synapse or neuron after fabrication by controlling the forming compliance current …
artificial synapse or neuron after fabrication by controlling the forming compliance current …
Stochasticity in the synchronization of strongly coupled spiking oscillators
Synchronization of electrical oscillators is a crucial step toward practical implementation of
oscillator-based and bio-inspired computing. Here, we report the emergence of an unusual …
oscillator-based and bio-inspired computing. Here, we report the emergence of an unusual …
Nanosecond Structural Dynamics during Electrical Melting of Charge Density Waves in
Electrical control of charge density waves has been of immense interest, as the strong
underlying electron-lattice interactions potentially open new, efficient pathways for …
underlying electron-lattice interactions potentially open new, efficient pathways for …