Electrochemical‐Memristor‐Based Artificial Neurons and Synapses—Fundamentals, Applications, and Challenges

S Chen, T Zhang, S Tappertzhofen, Y Yang… - Advanced …, 2023 - Wiley Online Library
Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …

Ferroelectric transistors for memory and neuromorphic device applications

IJ Kim, JS Lee - Advanced Materials, 2023 - Wiley Online Library
Ferroelectric materials have been intensively investigated for high‐performance nonvolatile
memory devices in the past decades, owing to their nonvolatile polarization characteristics …

Memristor-based artificial chips

B Sun, Y Chen, G Zhou, Z Cao, C Yang, J Du, X Chen… - ACS …, 2023 - ACS Publications
Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

Emerging MXene‐Based Memristors for In‐Memory, Neuromorphic Computing, and Logic Operation

S Ling, C Zhang, C Ma, Y Li… - Advanced Functional …, 2023 - Wiley Online Library
Confronted by the difficulties of the von Neumann bottleneck and memory wall, traditional
computing systems are gradually inadequate for satisfying the demands of future data …

Bio‐inspired artificial perceptual devices for neuromorphic computing and gesture recognition

F Chen, S Zhang, L Hu, J Fan, CH Lin… - Advanced Functional …, 2023 - Wiley Online Library
Artificial perception technologies capable of sensing and feeling mechanical stimuli like
human skins are critical enablers for electronic skins (E‐Skins) needed to achieve artificial …

Ferroelectric artificial synapses for high-performance neuromorphic computing: Status, prospects, and challenges

L Zhao, H Fang, J Wang, F Nie, R Li, Y Wang… - Applied Physics …, 2024 - pubs.aip.org
Neuromorphic computing provides alternative hardware architectures with high
computational efficiencies and low energy consumption by simulating the working principles …

Vertically integrated spiking cone photoreceptor arrays for color perception

X Wang, C Chen, L Zhu, K Shi, B Peng, Y Zhu… - Nature …, 2023 - nature.com
The cone photoreceptors in our eyes selectively transduce the natural light into spiking
representations, which endows the brain with high energy-efficiency color vision. However …

Emerging higher-order memristors for bio-realistic neuromorphic computing: A review

R Chaurasiya, LC Shih, KT Chen, JS Chen - Materials Today, 2023 - Elsevier
Memristor devices offer an alternative route to transistor scaling and the exponential growth
of computational resources. Numerous memristors have the potential to be used in …

Device physics recipe to make spiking neurons

J Bisquert - Chemical Physics Reviews, 2023 - pubs.aip.org
Neurons, which are made of biological tissue, exhibit cognitive properties that can be
replicated in various material substrates. To create brain-inspired computational artificial …

Self-aware artificial auditory neuron with a triboelectric sensor for spike-based neuromorphic hardware

SY Yun, JK Han, SW Lee, JM Yu, SB Jeon, YK Choi - Nano Energy, 2023 - Elsevier
Auditory organs can detect and process sounds with the help of the organ of Corti located in
the cochlea. The energy efficiency of biological processing for an input sound signal is very …