Results 111 to 120 of about 6,675,279 (300)

Optical Detection of Cellular Signals at Material Interfaces

Advanced Healthcare Materials, EarlyView.
Emerging functional materials are transforming optical detection of cellular signals. This review highlights optical techniques that exploit the unique optical properties of diverse materials to detect and quantify cellular electrical, chemical, and mechanical signals, and discusses key opportunities and challenges.
Xuchen Ren, Jitong Ren, Zixin Zhang, Koney Eungkon Kim, Francis L. Hong, Yuecheng Peter Zhou   +5 more
wiley   +1 more source

Zwitterionic Polymer Coating Enabled Chronic Dopamine Sensing and Electrophysiology Recording in Free‐Moving Mice

Advanced Healthcare Materials, EarlyView.
Application of a zwitterionic poly(sulfobetaine methacrylate) (PSB) coating to microelectrode arrays and Ag/AgCl reference electrodes effectively inhibits biofouling and structural degradation. This strategy successfully enables simultaneous, long‐term electrophysiological recording and dopamine sensing in freely behaving mice, facilitating ...
Bingchen Wu, Cort Thompson, Thomas Deakin, Yan Xu, Colleen A. McClung, Xinyan Tracy Cui   +5 more
wiley   +1 more source

NeuroVisio SyncPatch: A Skin‐Conformal Multimodal EMG–Motion Sensing Platform for Quantitative Neuromuscular Rehabilitation and Performance Monitoring

Advanced Healthcare Materials, EarlyView.
NeuroVisio SyncPatch integrates skin‐conformal electromyography (EMG) electrodes with camera‐tracked markers to jointly assess muscle activity and three‐dimensional knee kinematics during rehabilitation. Parallel feedback pathways provide real‐time kinematic guidance during movement and post‐trial neuromuscular feedback.
Bohyung Choi, Yoo‐Jin Jun, Heewon Choee, Kun‐Do Lee, Heesoo Kim, Yu Seok Hwang, Choong Yeon Kim, Seongok Chae, Juhyun Lee, Minkyu Je, Jae‐Woong Jeong, Hyung‐Soon Park   +11 more
wiley   +1 more source

Pattern Recognition of Spiking Neural Networks Based on Visual Mechanism and Supervised Synaptic Learning

Neural Plasticity, 2020
Electrophysiological studies have shown that mammalian primary visual cortex are selective for the orientations of visual stimuli. Inspired by this mechanism, we propose a hierarchical spiking neural network (SNN) for image classification.
Xiumin Li, Hao Yi, Shengyuan Luo
doaj   +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

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

Spikingformer: Spike-driven Residual Learning for Transformer-based Spiking Neural Network

arXiv.org, 2023
Chenlin Zhou, Liu-Tao Yu, Zhaokun Zhou, Han Zhang, Zhengyu Ma, Huihui Zhou, Yonghong Tian   +6 more
semanticscholar   +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

Spiking Versus Traditional Neural Networks for Character Recognition on FPGA Platform

, 2018
Spiking Neural Networks (SNN) is considered the third generation of neural networks. This type of neural networks are inspired from biological nature of cortical neuron, and they (SNNs) introduced the concept of time rather than using real-valued inputs ...
Mohammad Kadhim, Thaer; Department of Control Systems Engineering, University of Technology, Sina'a St., Baghdad, Iraq, Humaidi, Amjad J.; Department of Control Systems Engineering, University of Technology, Sina'a St., Baghdad, Iraq   +1 more
core  

The chronotron: a neuron that learns to fire temporally-precise spike patterns [PDF]

, 2010
In many cases, neurons process information carried by the precise timing of spikes. Here we show how neurons can learn to generate specific temporally-precise output spikes in response to input spike patterns, thus processing and memorizing information ...
Răzvan V. Florian
core