Results 91 to 100 of about 1,528,226 (285)

Bottom‐Up Engineering of a Human Neuromuscular System for Modeling Activity‐Induced Remodeling, Metabolic Stress, and Endothelial‐Modulated Excitability

Advanced Materials, EarlyView.
Using a bottom‐up approach, we engineered a human neuromuscular microchip to investigate distinct adaptive responses to neural stimulation and metabolic stress. Further integration of endothelial cells revealed their critical role in modulating neuromuscular excitability, establishing a comprehensive neurovascular‐muscular model.
Jinchul Ahn, Min‐seop Kim, Ju‐Hee Kim, Seok‐Hyeon Kang, Dain Lee, Hui‐Wen Liu, Seung‐cheol Shin, Kyuhwan Na, Yesl Jun, Oak‐Kee Hong, Ji Hun Yang, Jin‐A Kim, Hwanseok Jang, Hong Nam Kim, Roger D. Kamm, Ji‐Hoon Kim, Jang‐Won Son, Seok Chung   +17 more
wiley   +1 more source

Using data from cue presentations results in grossly overestimating semantic BCI performance

Scientific Reports
Neuroimaging studies have reported the possibility of semantic neural decoding to identify specific semantic concepts from neural activity. This offers promise for brain-computer interfaces (BCIs) for communication.
Milan Rybář, Riccardo Poli, Ian Daly
doaj   +1 more source

Reconstructing Unseen Sentences From Speech-Related Biosignals for Open-Vocabulary Neural Communication

IEEE Transactions on Neural Systems and Rehabilitation Engineering
Brain-to-speech (BTS) systems represent a groundbreaking approach to human communication by enabling the direct transformation of neural activity into linguistic expressions.
Deok-Seon Kim, Seo-Hyun Lee, Kang Yin, Seong-Whan Lee   +3 more
doaj   +1 more source

Dual‐State Programmable Oxide Transistor for Time‐Based Cryptography

Advanced Materials, EarlyView.
A DUPOT enables independently tunable Vth and Isat depending on gate bias polarity, producing three‐dimensional dynamical behavior within a transfer characteristic. This behavior originates from charge trapping and oxygen‐ion migration in the HfO2 layer.
Huisu Noh, Min Gu Lee, Hwayoung Kim, Myeongchan Ko, Jungwan Noh, Taewook Go, Jingyao Yu, Sang‐Hee Ko Park, Himchan Cho, Kyung Min Kim   +9 more
wiley   +1 more source

Framework Flexibility on Water Sorption and Transport in ZIF‐90: Insights from Neural‐Network Molecular Dynamics

Advanced Materials Interfaces, EarlyView.
A DeepMD‐based molecular dynamics framework is developed to investigate water adsorption in ZIF‐90, explicitly accounting for framework flexibility. Results show that atomistic flexibility significantly influences adsorption energetics, diffusion, and structural correlations, yielding nearly constant heat of adsorption and enhanced mobility.
Nick Mackus, Ionut Tranca, Veerapandian Ponnuchamy, Silvia Gaastra‐Nedea   +3 more
wiley   +1 more source

Recent Advances of Slip Sensors for Smart Robotics

Advanced Materials Technologies, EarlyView.
This review summarizes recent progress in robotic slip sensors across mechanical, electrical, thermal, optical, magnetic, and acoustic mechanisms, offering a comprehensive reference for the selection of slip sensors in robotic applications. In addition, current challenges and emerging trends are identified to advance the development of robust, adaptive,
Xingyu Zhang, Liao Wu, Shuai He, Zhao Sha, Yuwan Huang, Shuying Wu, Dewei Chu, Chun H. Wang, Shuhua Peng   +8 more
wiley   +1 more source

Contribution of correlated noise and selective decoding to choice probability measurements in extrastriate visual cortex

eLife, 2014
Trial by trial covariations between neural activity and perceptual decisions (quantified by choice Probability, CP) have been used to probe the contribution of sensory neurons to perceptual decisions.
Yong Gu, Dora E Angelaki, Gregory C DeAngelis   +2 more
doaj   +1 more source

Directional Latent Hybridization: Beyond Random Noise in Physics‐Informed Generative Inverse Design of Nonlinear Metamaterials

Advanced Materials Technologies, EarlyView.
A physics‐informed generative framework introduces Directional Latent Hybridization (DLH) for the deterministic inverse design of nonlinear metamaterials. By hybridizing dominant traits from parent geometries in the latent space, DLH overcomes the instabilities of stochastic models to ensure high structural precision at high densities.
Semin Ahn, Jun Young Choi, Sung‐Hoon Ahn   +2 more
wiley   +1 more source

A Decoding Algorithm for LDPC Codes Over Erasure Channels with Sporadic Errors [PDF]

, 2010
An efficient decoding algorithm for low-density parity-check (LDPC) codes on erasure channels with sporadic errors (i.e., binary error-and-erasure channels with error probability much smaller than the erasure probability) is proposed and its performance ...
Paolini, Enrico, G. Liva, Balazs Matuz, B. Matuz, Marco Chiani, Liva, Gianluigi, Chiani, Marco, Matuz, Balazs, Gianluigi Liva, Enrico Paolini   +9 more
core   +1 more source

On‐Chip Photonic Neural Network Architectures

Advanced Optical Materials, EarlyView.
This review presents a comprehensive overview of on‐chip photonic neural network architectures, covering key photonic building blocks, representative network types, and emerging applications. Recent advances, implementation challenges, and future directions are examined, highlighting the potential of integrated photonics to enable ultrafast, energy ...
Seokjin Hong, Berkay Neseli, Seungyeon Cho, Seungsoo Lee, Yeonjun Kim, Seungyoon Choi, Hyo‐Hoon Park, Hamza Kurt   +7 more
wiley   +1 more source