Results 91 to 100 of about 79,718 (282)

Neuro-memristive Circuits for Edge Computing: A review

, 2018
The volume, veracity, variability, and velocity of data produced from the ever-increasing network of sensors connected to Internet pose challenges for power management, scalability, and sustainability of cloud computing infrastructure.
Chua, Leon O., James, Alex Pappachen, Krestinskaya, Olga   +2 more
core   +1 more source

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

Self‐Selective Crossbar Synapse Array with n‐ZnO/p‐NiOx/n‐ZnO Structure for Neuromorphic Computing

Advanced Electronic Materials
Artificial synapse devices are essential elements for highly energy‐efficient neuromorphic computing. They are implemented as crossbar array architecture, where highly selective synaptic weight updates for training and sneak leakage‐free inference ...
Peter Hayoung Chung, Jiyeon Ryu, Daejae Seo, Dwipak Prasad Sahu, Minju Song, Junghwan Kim, Tae‐Sik Yoon   +6 more
doaj   +1 more source

Achieving High ON State Current through Ferroelectric Polarization‐Dependent Interfacial Resistance Switching in Undoped Orthorhombic HfO2 Films

Advanced Functional Materials, EarlyView.
Ferroelectric tunnel junction devices based on epitaxial undoped ferroelectric HfO2 films demonstrate stable switching endurance of over 106 switching cycles, low write voltages of ±3 V, 16 measured resistance states, and neuromorphic capability.
Markus Hellenbrand, Nuno Estrócio, Ji S. Kim, Babak Bakhit, Marian C. Istrate, Corneliu Ghica, Tiago Rebelo, Nives Strkalj, Abin Varghese, Bernardo Almeida, Luís S. Marques, Bipin Rajendran, Judith L. MacManus‐Driscoll, José P. B. Silva   +13 more
wiley   +1 more source

Atomic Layer Deposition in Transistors and Monolithic 3D Integration

Advanced Functional Materials, EarlyView.
Transistors are fundamental building blocks of modern electronics. This review summarizes recent progress in atomic layer deposition (ALD) for the synthesis of two‐dimensional (2D) metal oxides and transition‐metal dichalcogenides (TMDCs), with particular emphasis on their enabling role in monolithic three‐dimensional (M3D) integration for next ...
Yue Liu, Taoyu Zou, Cheng‐Yan Xu, Liang Zhen, Yang Li, Yong‐Young Noh   +5 more
wiley   +1 more source

Low-power artificial neuron networks with enhanced synaptic functionality using dual transistor and dual memristor.

PLoS ONE
Artificial neurons with bio-inspired firing patterns have the potential to significantly improve the performance of neural network computing. The most significant component of an artificial neuron circuit is a large amount of energy consumption.
Keerthi Nalliboyina, Sakthivel Ramachandran   +1 more
doaj   +1 more source

Advanced 3D Platforms for Modeling CNS Neuroinflammation: Cell Integration, Techniques, and Challenges

Advanced Healthcare Materials, EarlyView.
This review summarizes the roles of key central nervous system cell types, the extracellular matrix, and the blood‐brain barrier in neuroinflammation, and their integration into diverse 3D culture systems. It examines major incorporation strategies, including direct co‐culture, hydrogel encapsulation, transwell migration assays, and bioprinting ...
Emmanuelle D. Aiyegbusi, Julia Di Stefano, Dearbhaile Dooley   +2 more
wiley   +1 more source

Comparison between Oja's and BCM neural networks models in finding useful projections in high-dimensional spaces [PDF]

, 2017
This thesis presents the concept of a neural network starting from its corresponding biological model, paying particular attention to the learning algorithms proposed by Oja and Bienenstock Cooper & Munro.
Mariani, Tommaso
core  

ARTIFICIAL NEURAL NETWORKS WITH DYNAMIC SYNAPSES: A REVIEW

Mokslas - Lietuvos ateitis, 2023
Artificial neural networks (ANNs) are widely applied to solve real-world problems. Most of the actions we take and the processes around us are time-varying. ANNs with dynamic properties allow processing time-dependent data and solving tasks such as speech and text processing, prediction models, face and emotion recognition, game strategy development ...
openaire   +3 more sources

Optoelectrical Devices for Neural Interfacing: Engineering Integration, Stability, and Multimodal Sensing

Advanced Healthcare Materials, EarlyView.
Implantable optoelectrical devices are an effective resource for the modulation and monitoring of neural activity with high spatiotemporal resolution. This review discusses current challenges faced by these devices and outlines future perspectives for the development of next‐generation neural interfaces targeting chronic, multisite, and multimodal ...
Stella Aslanoglou, Barbara Spagnolo, Antonio Balena, Massimo De Vittorio, Ferruccio Pisanello   +4 more
wiley   +1 more source