Results 71 to 80 of about 84,713 (260)

Anisotropic Black Phosphorus Synaptic Device for Neuromorphic Applications

Advanced Materials, 2016
Synapses are functional links between neurons, through which "information" flows in the neural network. These connections vary significantly in strength, typically resulting from the intrinsic heterogeneity in their chemical and biological properties.
Tian, He, Guo, Qiushi, Xie, Yunjun, Zhao, Huan, Li, Cheng, Cha, Judy J., Xia, Fengnian, Wang, Han   +7 more
openaire   +4 more sources

Smarter Sensors Through Machine Learning: Historical Insights and Emerging Trends across Sensor Technologies

Advanced Functional Materials, EarlyView.
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee, Osman Gul, Yeongjae Kwon, Jaeseok Jeong, Seokjoo Cho, Jihyeon Ahn, Jehee Yu, Cheolmin Kim, Donho Lee, Hyeonseok Han, Byeongju Lee, Jungrak Choi, Ji‐Hwan Ha, Yongrok Jeong, Kyungnam Kang, Ali Javey, Junseong Ahn, Inkyu Park   +17 more
wiley   +1 more source

Ternary Heterojunction Synaptic Transistors Based on Perovskite Quantum Dots

Nanomaterials
The traditional von Neumann architecture encounters significant limitations in computational efficiency and energy consumption, driving the development of neuromorphic devices.
Shuqiong Lan, Jinkui Si, Wangying Xu, Lan Yang, Jierui Lin, Chen Wu   +5 more
doaj   +1 more source

Overcoming device unreliability with continuous learning in a population coding based computing system

, 2018
The brain, which uses redundancy and continuous learning to overcome the unreliability of its components, provides a promising path to building computing systems that are robust to the unreliability of their constituent nanodevices.
Grollier, Julie, Mizrahi, Alice, Querlioz, Damien, Stiles, M. D.   +3 more
core   +2 more sources

Alkali Ion‐Incorporated HfO2 Dielectrics for Reconfigurable Neuromorphic Computing

Advanced Functional Materials, EarlyView.
This work presents an indium gallium zinc oxide (IGZO) transistor with an alkali cation‐integrated hafnium dioxide (HfO2) dielectric exhibiting synaptic behavior via ion retention. The solution‐based film fabrication strategy overcomes the limitations of atomic layer deposition (ALD) and precursor coating, enabling the control of synaptic retention ...
Seung Yeon Ki, In Cheol Kwak, Seonkwon Kim, Jihyun Kim, Dong Gue Roe, Se‐Jin Kim, Joohoon Kang, Jeong Ho Cho   +7 more
wiley   +1 more source

Aptamer‐Mediated Artificial Synapses for Neuromorphic Modulation of Inflammatory Signaling via Organic Electrochemical Transistor

Advanced Science
Artificial synaptic devices that mimic neuromorphic signal processing hold great promise for bioelectronic interfaces. However, most systems remain limited to physical stimuli or electroactive small molecules, lacking the ability to transduce ...
Yuqing Ding, You Kuai, Rongpei Li, Xinzhao Xu, Bo Wang, Zhihui Wang, Yanfang Liu, Yuchao Dong, Shunjie Chen, Meng Guo, Yunqi Liu, Yan Zhao   +11 more
doaj   +1 more source

A Low-Cost Flexible Optoelectronic Synapse Based on ZnO Nanowires for Neuromorphic Computing

Sensors
Neuromorphic computing, inspired by the brain, holds significant promise for advancing artificial intelligence. Artificial optoelectronic synapses, which can convert optical signals into electrical signals, play a crucial role in neuromorphic computing ...
Yongqing Yue, Zixia Yu, Fangpei Li, Wenbo Peng, Quanzhe Zhu, Yongning He   +5 more
doaj   +1 more source

Resistive switching and synaptic properties modifications in gallium-doped zinc oxide memristive devices

Results in Physics, 2019
The massively parallel computing capabilities of the human brain can be mimicked with the help of neuromorphic computing approach and this can be achieved by developing the electronic synaptic device.
Shilpa S. More, Pratiksha A. Patil, Kalyani D. Kadam, Harshada S. Patil, Snehal L. Patil, Aishwarya V. Pawar, Sharon S. Kanapally, Dhanashri V. Desai, Shraddha M. Bodake, Rajanish K. Kamat, Sungjun Kim, Tukaram D. Dongale   +11 more
doaj   +1 more source

Memory and information processing in neuromorphic systems

, 2015
A striking difference between brain-inspired neuromorphic processors and current von Neumann processors architectures is the way in which memory and processing is organized.
Indiveri, Giacomo, Liu, Shih-Chii
core   +1 more source

Astrocyte‐Guided Maturation of Neural Constructs in a Modular Biosynthetic Hydrogel for Biohybrid Neurotechnologies

Advanced Functional Materials, EarlyView.
A modular biosynthetic PVA–gelatin hydrogel crosslinked via visible‐light thiol‐ene chemistry is engineered as a coating for neural electrodes. Optimizing matrix composition and mechanical properties enables the hydrogel to support astrocytic populations that guide neural differentiation and functional maturation.
Martina Genta, Sofia Peressotti, Roberto Portillo‐Lara, Josef Goding, Rylie Green   +4 more
wiley   +1 more source