Toward a Brain–Neuromorphics Interface
C Wan, M Pei, K Shi, H Cui, H Long, L Qiao… - Advanced …, 2024 - Wiley Online Library
Brain–computer interfaces (BCIs) that enable human–machine interaction have immense
potential in restoring or augmenting human capabilities. Traditional BCIs are realized based …
potential in restoring or augmenting human capabilities. Traditional BCIs are realized based …
Memristor-based storage system with convolutional autoencoder-based image compression network
The exponential growth of various complex images is putting tremendous pressure on
storage systems. Here, we propose a memristor-based storage system with an integrated …
storage systems. Here, we propose a memristor-based storage system with an integrated …
A bioinspired MXene-based flexible sensory neuron for tactile near-sensor computing
J Huang, J Feng, Z Chen, Z Dai, S Yang, Z Chen… - Nano Energy, 2024 - Elsevier
Multifunctional near-sensor computing sensory neurons based on the integration of flexible
sensors and memristors hold promise to achieve unprecedented development in large-scale …
sensors and memristors hold promise to achieve unprecedented development in large-scale …
Memristor-based hardware accelerators for artificial intelligence
Satisfying the rapid evolution of artificial intelligence (AI) algorithms requires exponential
growth in computing resources, which, in turn, presents huge challenges for deploying AI …
growth in computing resources, which, in turn, presents huge challenges for deploying AI …
Approaching the Ideal Linearity in Epitaxial Crystalline‐type Memristor by Controlling Filament Growth
Brain‐inspired neuromorphic computing has attracted widespread attention owing to its
ability to perform parallel and energy‐efficient computation. However, the synaptic weight of …
ability to perform parallel and energy‐efficient computation. However, the synaptic weight of …
Molecular Electronics: From Nanostructure Assembly to Device Integration
Integrated electronics and optoelectronics based on organic semiconductors have attracted
considerable interest in displays, photovoltaics, and biosensing owing to their designable …
considerable interest in displays, photovoltaics, and biosensing owing to their designable …
Learning‐Effective Mixed‐Dimensional Halide Perovskite QD Synaptic Array for Self‐Rectifying and Luminous Artificial Neural Networks
A mixed‐dimensional heterostructure comprising nanomaterials with varying dimensions
provides a promising structure for an artificial synapse for reconfigurable neuromorphic …
provides a promising structure for an artificial synapse for reconfigurable neuromorphic …
Boosting flexible electronics with integration of two‐dimensional materials
C Hou, S Zhang, R Liu, T Gemming, A Bachmatiuk… - InfoMat, 2024 - Wiley Online Library
Flexible electronics has emerged as a continuously growing field of study. Two‐dimensional
(2D) materials often act as conductors and electrodes in electronic devices, holding …
(2D) materials often act as conductors and electrodes in electronic devices, holding …
Reliable Low‐Current and Multilevel Memristive Electrochemical Neuromorphic Devices with Semi‐Metal Sb Filament
C Zhuge, Y Zhang, J Jiang, X Li, Y Zhao, Y Fu, Q Wang… - Small, 2024 - Wiley Online Library
Memristors are used in artificial neural networks owing to their exceptional integration
capabilities and scalability. However, traditional memristors are hampered by limited …
capabilities and scalability. However, traditional memristors are hampered by limited …
Resistive memory-based zero-shot liquid state machine for multimodal event data learning
N Lin, S Wang, Y Li, B Wang, S Shi, Y He… - arXiv preprint arXiv …, 2023 - arxiv.org
The human brain is a complex spiking neural network (SNN) that learns multimodal signals
in a zero-shot manner by generalizing existing knowledge. Remarkably, the brain achieves …
in a zero-shot manner by generalizing existing knowledge. Remarkably, the brain achieves …