Results 111 to 120 of about 1,601,752 (292)

A 2D material-based floating gate device with linear synaptic weight update

, 2020
Neuromorphic computing is of great interest among researchers interested in overcoming the von Neumann computing bottleneck. A synaptic device, one of the key components to realize a neuromorphic system, has a weight that indicates the strength of the ...
Chang, Jiwon, Kim, Gyu Tae, Kim, Inho, Park, Jong-Keuk, Kang, Kibum, Lee, Suyoun, Kwak, Joon Young, Kim, Minkyung, Kim, In Soo, Park, Jongkil, Park, Eunpyo, Kim, Tae Soo, Kim, Jaewook, Jeong, YeonJoo   +13 more
core   +1 more source

Ferroelectric Quantum Dots for Retinomorphic In‐Sensor Computing

Advanced Materials, EarlyView.
This work has provided a protocol for fabricating retinomorphic phototransistors by integrating ferroelectric ligands with quantum dots. The resulting device combines ferroelectricity, optical responsiveness, and low‐power operation to enable adaptive signal amplification and high recognition accuracy under low‐light conditions, while supporting ...
Tingyu Long, Huanyu Zhou, Jaewan Ko, Hongwei Tan, Jaemin Lim, Yanfei Zhao, Daehan Kang, Eojin Yoon, Gyeong‐Tak Go, Somin Kim, Seung‐Woo Lee, Chan‐Yul Park, Hyojun Choi, Hyeran Kim, Hyung Joong Yun, Sung Hyuk Park, Kwan Sik Park, Jeong Woo Park, Mungeun Kim, Yong Soo Cho, Ho Won Jang, Wenqiang Yang, Min Hyuk Park, Wan Ki Bae, Sebastiaan van Dijken, Joona Bang, Tae‐Woo Lee   +26 more
wiley   +1 more source

High-throughput numerical modeling of the tunable synaptic behavior in 2D MoS2 memristive devices

npj 2D Materials and Applications
Memristive devices based on two-dimensional (2D) materials have emerged as potential synaptic candidates for next-generation neuromorphic computing hardware.
Benjamin Spetzler, Vinod K. Sangwan, Mark C. Hersam, Martin Ziegler   +3 more
doaj   +1 more source

Battery-Inspired Electrochemical Synapses for Neuromorphic Applications. [PDF]

Adv Sci (Weinh)
Battery‐ion‐inspired synaptic devices integrate diverse electrolyte systems (solid, ion‐gel, liquid) with transition metal oxides, two‐dimensional materials, and organic channels to regulate ion‐electron coupling. By tailoring ion transport and host interactions, these platforms enable controllable plasticity and energy‐efficient implementations for ...
Lee WW, Jang S, Choi W, Park J, Hur J, Yoo H, Kim HS.   +6 more
europepmc   +2 more sources

Nano-scale single layer TiO2-based artificial synaptic device

, 2020
gul, fatih/0000-0001-5072-2122Synaptic nano-electronic devices for brain-inspired computing have become increasingly popular because of their biological neuron-like properties such as massive parallelism with lower power consumption.
Gül, Fatih
core   +1 more source

Feedforward inhibition and synaptic scaling - two sides of the same coin? [PDF]

, 2012
Feedforward inhibition and synaptic scaling are important adaptive processes that control the total input a neuron can receive from its afferents. While often studied in isolation, the two have been reported to co-occur in various brain regions.
Cristina Savin, Keck, Christian, Savin Cristina, Lücke, Jörg, Cristina Savin (175862), Jörg Lücke (175863), Christian Keck (175861), Christian Keck, Jörg Lücke, Savin, Cristina, Keck Christian, Lücke Jörg   +11 more
core   +2 more sources

Bioinspired Adaptive Sensors: A Review on Current Developments in Theory and Application

Advanced Materials, EarlyView.
This review comprehensively summarizes the recent progress in the design and fabrication of sensory‐adaptation‐inspired devices and highlights their valuable applications in electronic skin, wearable electronics, and machine vision. The existing challenges and future directions are addressed in aspects such as device performance optimization ...
Guodong Gong, You Zhou, Qingxiu Li, Wenyu Zhao, Sunyingyue Geng, Hangfei Li, Yan‐Bing Leng, Shirui Zhu, Guanglong Ding, Yongbiao Zhai, Ziyu Lv, Ye Zhou, Su‐Ting Han   +12 more
wiley   +1 more source

Benchmark of Ferroelectric Transistor-Based Hybrid Precision Synapse for Neural Network Accelerator

IEEE Journal on Exploratory Solid-State Computational Devices and Circuits, 2019
In-memory computing with analog nonvolatile memories can accelerate the in situ training of deep neural networks. Recently, we proposed a synaptic cell of a ferroelectric transistor (FeFET) with two CMOS transistors (2T1F) that exploit the hybrid ...
Yandong Luo, Panni Wang, Xiaochen Peng, Xiaoyu Sun, Shimeng Yu   +4 more
doaj   +1 more source

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

Advanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj, Roshni Satheesh Babu, Yuxin Xia, Eva Bestelink, Radu Sporea, Nikos Hastas, Ioannis Zeimpekis, Dimitra G. Georgiadou, Sayani Majumdar   +8 more
wiley   +1 more source

Photo‐synaptic Memristor Devices from Solution‐processed Ga2O3 Thin Films

Advanced Electronic Materials
Hardware integration with biological synaptic function is the key to realizing brain‐like computing. Resistive Random Access Memory (RRAM), with a similar structure to biological synapses, are important candidate for the simulation of biological synaptic
Wei Wang, Xiangxiang Gao, Zhenhua Lin, Haoyu Bai, Dongsheng Cui, Jie Su, Jincheng Zhang, Yue Hao, Jingjing Chang   +8 more
doaj   +1 more source