Memristor-based neural networks: a bridge from device to artificial intelligence
Since the beginning of the 21st century, there is no doubt that the importance of artificial
intelligence has been highlighted in many fields, among which the memristor-based artificial …
intelligence has been highlighted in many fields, among which the memristor-based artificial …
Carbon nanodots memristor: An emerging candidate toward artificial biosynapse and human sensory perception system
In the era of big data and artificial intelligence (AI), advanced data storage and processing
technologies are in urgent demand. The innovative neuromorphic algorithm and hardware …
technologies are in urgent demand. The innovative neuromorphic algorithm and hardware …
From fundamentals to frontiers: a review of memristor mechanisms, modeling and emerging applications
The escalating demand for artificial intelligence (AI), the internet of things (IoTs), and energy-
efficient high-volume data processing has brought the need for innovative solutions to the …
efficient high-volume data processing has brought the need for innovative solutions to the …
Emerging memristive artificial neuron and synapse devices for the neuromorphic electronics era
Growth of data eases the way to access the world but requires increasing amounts of energy
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …
to store and process. Neuromorphic electronics has emerged in the last decade, inspired by …
Organic frameworks memristor: An emerging candidate for data storage, artificial synapse, and neuromorphic device
Z Xu, Y Li, Y Xia, C Shi, S Chen, C Ma… - Advanced Functional …, 2024 - Wiley Online Library
Memristors have recently become powerful competitors toward artificial synapses and
neuromorphic computation, arising from their structural and electrical similarity to biological …
neuromorphic computation, arising from their structural and electrical similarity to biological …
Self‐rectifying memristors for three‐dimensional in‐memory computing
SG Ren, AW Dong, L Yang, YB Xue, JC Li… - Advanced …, 2024 - Wiley Online Library
Costly data movement in terms of time and energy in traditional von Neumann systems is
exacerbated by emerging information technologies related to artificial intelligence. In …
exacerbated by emerging information technologies related to artificial intelligence. In …
Linear and symmetric synaptic weight update characteristics by controlling filament geometry in oxide/suboxide HfOx bilayer memristive device for neuromorphic …
Memristive devices have been explored as electronic synaptic devices to mimic biological
synapses for developing hardware-based neuromorphic computing systems. However …
synapses for developing hardware-based neuromorphic computing systems. However …
Memcapacitor crossbar array with charge trap NAND flash structure for neuromorphic computing
The progress of artificial intelligence and the development of large‐scale neural networks
have significantly increased computational costs and energy consumption. To address these …
have significantly increased computational costs and energy consumption. To address these …
Threshold Modulative Artificial GABAergic Nociceptor
Gamma‐aminobutyric acid (GABA) is a crucial inhibitory neurotransmitter of the central
nervous system. It modifies the signal threshold of the nociceptor, allowing it to react to …
nervous system. It modifies the signal threshold of the nociceptor, allowing it to react to …
Reconfigurable Selector-Free All-Optical Controlled Neuromorphic Memristor for In-Memory Sensing and Reservoir Computing
Recently, the rising demand for data-based applications has driven the convergence of
image sensing, memory, and computing unit interfaces. While specialized electronic …
image sensing, memory, and computing unit interfaces. While specialized electronic …