Results 131 to 140 of about 76,325 (312)

Organic Electrochemical Transistors for Neuromorphic Devices and Applications

Advanced Materials, EarlyView.
Organic electrochemical transistors are emerging as promising platforms for neuromorphic devices that emulate neuronal and synaptic activities and can seamlessly integrate with biological systems. This review focuses on resultant organic artificial neurons, synapses, and integrated devices, with an emphasis on their ability to perform neuromorphic ...
Kexin Xiang, Jiajun Song, Hong Liu, Junxin Chen, Feng Yan   +4 more
wiley   +1 more source

Materials and System Design for Self‐Decision Bioelectronic Systems

Advanced Materials, EarlyView.
This review highlights how self‐decision bioelectronic systems integrate sensing, computation, and therapy into autonomous, closed‐loop platforms that continuously monitor and treat diseases, marking a major step toward intelligent, self‐regulating healthcare technologies.
Qiankun Zeng, Hong Liu, Yongheng Zhang, Youbin Zheng, Xuyin Ding, Mengni Zhu, Guoyue Shi, Yan Wang, Hossam Haick, Min Zhang   +9 more
wiley   +1 more source

Nonmulberry Silk Fibroin Doping Boosts Charge Transfer and Charge Injection in Aligned Polypyrrole‐Silk Scaffolds for Low‐Voltage Neurostimulation

Advanced Materials Interfaces, EarlyView.
Conductive silk‐polypyrrole scaffolds couple redox stability with cell‐affinitive peptides present innately in an endogenous silk fibroin, enabling optimized electrical stimulation to drive neurite outgrowth. Findings establish electrochemical‐biological link for biomaterial design rules for smart nerve guidance conduits that can provide low voltage ...
Rajiv Borah, Joseph Christakiran Moses, Jnanendra Upadhyay, Jitu Mani Das, Michael G. Monaghan, Biman B. Mandal   +5 more
wiley   +1 more source

Nanoporous Microelectrodes for Neural Electrophysiology Recordings in Organotypic Culture

Advanced Materials Technologies, EarlyView.
The highly porous microelectrodes have been designed and printed on culture membranes, allowing to record electrophysiological neural activity for rodent brain slices. To keep the biocompatible nanoporous structure, the microelectrodes and insulative layer are fabricated on the bottom of culture membranes with only small connector pads added on the top.
Petro Lutsyk, Debjani Goswami, Stephen Worrall, Stuart D. Greenhill   +3 more
wiley   +1 more source

BIASNN: a biologically inspired attention mechanism in spiking neural networks for image classification

Scientific Reports
Spiking Neural Networks (SNNs), designed to more accurately model the brain’s neurobiological processes, have been proposed as energy-efficient alternatives to conventional Artificial Neural Networks (ANNs), which typically incur high computational and ...
Kevin Takala, Wachirawut Thamviset, Sartra Wongthanavasu   +2 more
doaj   +1 more source

End‐to‐End Sensing Systems for Breast Cancer: From Wearables for Early Detection to Lab‐Based Diagnosis Chips

Advanced Materials Technologies, EarlyView.
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane, Lyn I. Jones, Richard M. Martin, Helen Winter, Faezeh Arab Hassani   +4 more
wiley   +1 more source

Hybrid Macro/Micro Level Backpropagation for Training Deep Spiking\n Neural Networks [PDF]

, 2018
Yingyezhe Jin, Wenrui Zhang, Peng Li
openalex   +1 more source

Disynaptic effect of hilar cells on pattern separation in a spiking neural network of hippocampal dentate gyrus

, 2022
Sang-Yoon Kim, Woochang Lim
openalex   +2 more sources

Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics

Advanced Robotics Research, EarlyView.
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang, Zhipeng Jiang, Sun Hwa Kwon, Matthew Ibrahim, Alexander Dang, Lin Dong   +5 more
wiley   +1 more source

Spike-based computation using classical recurrent neural networks

Neuromorphic Computing and Engineering
Spiking neural networks (SNNs) are a type of artificial neural networks in which communication between neurons is only made of events, also called spikes.
Florent De Geeter, Damien Ernst, Guillaume Drion   +2 more
doaj   +1 more source