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View article: HZO/HSO Superlattice ReFET Array Integrating Optical Sensing for Neuromorphic Vision Computing
HZO/HSO Superlattice ReFET Array Integrating Optical Sensing for Neuromorphic Vision Computing Open
Neuromorphic vision systems require artificial synapses that integrate sensing, memory, and computation with high precision and stability. Conventional memristors face limitations including forming requirements, few multilevel states, low …
View article: Fully Hardware Memristive Neuromorphic Computing Enabled by the Integration of Trainable Dendritic Neurons and High‐Density RRAM Chip
Fully Hardware Memristive Neuromorphic Computing Enabled by the Integration of Trainable Dendritic Neurons and High‐Density RRAM Chip Open
Computing‐in‐memory (CIM) architecture inspired by the hierarchy of human brain is proposed to resolve the von Neumann bottleneck and boost acceleration of artificial intelligence. Whereas remarkable progress has been achieved for CIM, mak…
View article: Spatiotemporal audio feature extraction with dynamic memristor-based time-surface neurons
Spatiotemporal audio feature extraction with dynamic memristor-based time-surface neurons Open
Neuromorphic speech recognition systems that use spiking neural networks (SNNs) and memristors are progressing in hardware development. The conventional manual preprocessing of audio signals is shifting toward event-based recognition with …
View article: One‐Phototransistor–One‐Memristor Array with High‐Linearity Light‐Tunable Weight for Optic Neuromorphic Computing (Adv. Mater. 37/2023)
One‐Phototransistor–One‐Memristor Array with High‐Linearity Light‐Tunable Weight for Optic Neuromorphic Computing (Adv. Mater. 37/2023) Open
Image Recognition In article number 2204844, Yuchao Yang, Ru Huang, and co-workers propose a one-phototransistor–one-memristor array that works as an artificial optic neural network for image recognition. The network supports online traini…
View article: Neuromorphic Artificial Vision Systems Based on Reconfigurable Ion‐Modulated Memtransistors
Neuromorphic Artificial Vision Systems Based on Reconfigurable Ion‐Modulated Memtransistors Open
Conventional vision systems suffer from lots of data handling between memory and processing units. Inspired by how humans recognize noisy images and the flexible modulation on the timescale of ion dynamics inside an emerging memtransistor,…
View article: Neuromorphic Artificial Vision Systems Based on Reconfigurable Ion-modulated Memtransistors
Neuromorphic Artificial Vision Systems Based on Reconfigurable Ion-modulated Memtransistors Open
Conventional vision systems suffer from lots of data handling between memory and processing units. Inspired by how humans recognize noisy images and the flexible modulation on the timescale of ion dynamics inside an emerging memtransistor,…
View article: Multilayer Reservoir Computing Based on Ferroelectric α‐In<sub>2</sub>Se<sub>3</sub> for Hierarchical Information Processing (Adv. Mater. 48/2022)
Multilayer Reservoir Computing Based on Ferroelectric α‐In<sub>2</sub>Se<sub>3</sub> for Hierarchical Information Processing (Adv. Mater. 48/2022) Open
Reservoir Computing Physically implemented reservoir computing systems have aroused wide interest, due to their capability of efficiently handling temporally complex information. In article number 2108826, Ru Huang, Yuchao Yang, and co-wor…
View article: Spike‐Enabled Audio Learning in Multilevel Synaptic Memristor Array‐Based Spiking Neural Network
Spike‐Enabled Audio Learning in Multilevel Synaptic Memristor Array‐Based Spiking Neural Network Open
Speech recognition involves the ability to learn the audios which are closely related to event sequence. Although speech recognition has been widely implemented in software neural networks, a hardware implementation based on energy efficie…
View article: Supporting Information for "Spike Enabled Audio Learning in Multilevel Synaptic Memristor Array Based Spiking Neural Network"
Supporting Information for "Spike Enabled Audio Learning in Multilevel Synaptic Memristor Array Based Spiking Neural Network" Open
Although speech recognition has been widely implemented in software neural networks, a hardware implementation based on energy efficient computing architecture is still missing.In this study, we have fabricated W/MgO/SiO 2 /Mo memristor ar…
View article: Supporting Information for "Spike Enabled Audio Learning in Multilevel Synaptic Memristor Array Based Spiking Neural Network"
Supporting Information for "Spike Enabled Audio Learning in Multilevel Synaptic Memristor Array Based Spiking Neural Network" Open
Although speech recognition has been widely implemented in software neural networks, a hardware implementation based on energy efficient computing architecture is still missing.In this study, we have fabricated W/MgO/SiO 2 /Mo memristor ar…
View article: Stochastic neuron based on IGZO Schottky diodes for neuromorphic computing
Stochastic neuron based on IGZO Schottky diodes for neuromorphic computing Open
Neuromorphic architectures based on memristive neurons and synapses hold great prospect in achieving highly intelligent and efficient computing systems. Here, we show that a Schottky diode based on Cu-Ta/InGaZnO4 (IGZO)/TiN structure can e…
View article: Secure Electronics: Physically Transient Threshold Switching Device Based on Magnesium Oxide for Security Application (Small 27/2018)
Secure Electronics: Physically Transient Threshold Switching Device Based on Magnesium Oxide for Security Application (Small 27/2018) Open
In article number 1800945, Xiaohua Ma, Yue Hao, and co-workers achieve super-large storage capacity of 107 Gb by integrating transient threshold switching devices with dissolvable memristors on flexible substrate. This transient system is …