Results 61 to 70 of about 80,289 (279)

Artifact‐Minimizing Ultrathin Transparent Electrodes Fabricated via iCVD for In Vivo Optogenetic Stimulation and Neural Signal Monitoring of Primary Visual Cortex

Advanced Functional Materials, EarlyView.
We present ultrathin flexible transparent electrodes through iCVD‐enabled molecular control of 10 nm gold films on poly(dimethylaminomethylstyrene). In vivo validation demonstrated photoelectric artifact reduction vs. opaque electrodes and preservation of natural neural dynamics.
Tae Jin Mun, Minju Kim, Chaesung Kim, Yunyoung Choi, In‐Yeop Baek, Younghak Cho, Gyeongyong Lee, Yerim Jang, Min‐Ho Nam, Wonryung Lee, Maesoon Im, Hyejeong Seong   +11 more
wiley   +1 more source

Prothrombin conversion accelerates with increasing age in women but not in men: findings from the Moli-sani Cohort Study

Research and Practice in Thrombosis and Haemostasis
Background: The thrombin dynamics method has been used as an add-on analysis method for the thrombin generation test over the past years to study the balance between pro- and anticoagulant pathways.
Amalia De Curtis, Romy de Laat-Kremers, Simona Costanzo, Augusto Di Castelnuovo, Marisa Ninivaggi, Chiara Cerletti, Giovanni de Gaetano, Maria Benedetta Donati, Licia Iacoviello, Bas de Laat, Licia Iacoviello, Giovanni de Gaetano, Maria Benedetta Donati, Chiara Cerletti, Marialaura Bonaccio, Americo Bonanni, Simona Costanzo, Amalia De Curtis, Augusto Di Castelnuovo, Alessandro Gialluisi, Francesco Gianfagna, Mariarosaria Persichillo, Jos Vermylen, Renzo Pegoraro, Antonio G. Spagnolo, Deodato Assanelli, Livia Rago, Simona Costanzo, Sabatino Orlandi, Teresa Panzera, Augusto Di Castelnuovo, Marialaura Bonaccio, Francesca Bracone, Simona Costanzo, Giuseppe Di Costanzo, Simona Esposito, Alessandro Gialluisi, Anwal Ghulam, Francesco Gianfagna, Martina Morelli, Maria Loreto Muñoz Venegas, Antonietta Pepe, Emilia Ruggiero, Amalia De Curtis, Concetta Civitillo, Alisia Cretella, Sara Magnacca, Mariarosaria Persichillo, Francesca Bracone, Giuseppe Di Costanzo, Martina Morelli, Americo Bonanni   +51 more
doaj   +1 more source

Multi‐Scale Interface Engineering of MXenes for Multifunctional Sensory Systems

Advanced Functional Materials, EarlyView.
MXenes, as two‐dimensional transition metal carbides and nitrides, demonstrate remarkable capabilities for multifunctional sensing applications. This review systematically examines multi‐scale interface engineering approaches that enhance sensing performance, enable diverse detection functionalities, and improve system‐level compatibility in MXene ...
Jiaying Liao, Sin‐Yi Pang, Jianhua Hao
wiley   +1 more source

Gate‐Tunable Anisotropic Oxygen Ion Migration in SrCoOx: Toward Emerging Oxide‐Based Artificial Synapses

Advanced Intelligent Systems, 2023
The construction of artificial synapse based on the electric field‐controlled ion migration has been developed to be a prospective approach to achieving intelligent devices with advantage of low‐energy consumption. However, it is still a very challenging
Tingting Miao, Bin Cui, Cungang Huang, Di Wang, Long Liu, Weikang Liu, Yongzhe Li, Ruiyue Chu, Xue Ren, Liang Liu, Bin Cheng, Guangjun Zhou, Hongwei Qin, Guozhong Xing, Jifan Hu   +14 more
doaj   +1 more source

Thermally Engineered Sodium‐Embedded Alumina with Programmable Synaptic Plasticity for Neuromorphic Transistors

Advanced Functional Materials, EarlyView.
A fully transparent, all‐metal‐oxide neuromorphic transistor using a sodium‐embedded alumina (SEA) electrolyte is demonstrated. By precisely tuning the thermal annealing process, the chemical composition of the SEA layer is controlled, allowing for the deterministic realization of both short‐term and long‐term synaptic plasticity within the same device
Yonghyun Albert Kwon, Jaeyeon Kim, Dong Yeon Won, Saeyoun Park, Youngjae Yoo, Seongchan Kim, Dong‐Hwan Kim, Jeong Ho Cho   +7 more
wiley   +1 more source

Light-stimulated adaptive artificial synapse based on nanocrystalline metal-oxide film

Opto-Electronic Science
Artificial synapses utilizing spike signals are essential elements of new generation brain-inspired computers. In this paper, we realize light-stimulated adaptive artificial synapse based on nanocrystalline zinc oxide film.
Igor S. Balashov, Alexander A. Chezhegov, Artem S. Chizhov, Andrey A. Grunin, Konstantin V. Anokhin, Andrey A. Fedyanin   +5 more
doaj   +1 more source

Pulse Coded Neural Network Implementation In VLSI [PDF]

, 2000
A neural network that encodes signals in terms of pulses has been designed and fabricated. The neural network components are described in detail. As a test case, a two-layer network is implemented.
Chang, Wooi Po, Shaikh-Husin, Nasir
core  

Bioactive Conductive Ti3C2Tx‐Ce Hydrogel Facilitates Spinal Cord Injury Repair Through ROS Scavenging and Mitochondrial Regulation

Advanced Functional Materials, EarlyView.
Bioactive conductive Ti3C2Tx‐Ce hydrogels with with scavenging ROS and alleviating neuronal mitochondrial dysfunction are exploited for SCI treatment. This functionality is attributed to interfacial activation modification of Ti3C2Tx with Ce3+ ions to in‐situ form Ce(OH)x‐mediated protective layer, which is beneficial to enabling stable intracellular ...
Weikang Wang, Qing Liu, Ang Lv, Yabin Lin, Jiawei Chen, Ning Ding, Chunlei Zhang, Shuai Zhou, Bo Yuan, Weiwei Zhao, Liming Li, Luping Zhang, Fei Huang   +12 more
wiley   +1 more source

Realize low-power artificial photonic synapse based on (Al,Ga)N nanowire/graphene heterojunction for neuromorphic computing

APL Photonics, 2023
The fast development of brain-inspired neuromorphic computing systems has stimulated urgent requirements for artificial synapses with low-power consumption.
Min Zhou, Yukun Zhao, Xiushuo Gu, Qianyi Zhang, Jianya Zhang, Min Jiang, Shulong Lu   +6 more
doaj   +1 more source

Multimodal Artificial Synapses for Neuromorphic Application

Research
The rapid development of neuromorphic computing has led to widespread investigation of artificial synapses. These synapses can perform parallel in-memory computing functions while transmitting signals, enabling low-energy and fast artificial intelligence. Robots are the most ideal endpoint for the application of artificial intelligence.
Runze Li, Zengji Yue, Haitao Luan, Yibo Dong, Xi Chen, Min Gu   +5 more
openaire   +3 more sources