Results 131 to 140 of about 27,419 (285)

Mild Focal Cooling Decouples Dendrites to Reconfigure Cortical Output

Advanced Science, EarlyView.
Mild cooling of the cortical surface selectively modulates apical dendritic excitability, plasticity, and somato‐dendritic coupling, while uncoupling these effects from basal dendrites, and reshapes apical‐driven responses in barrel cortex during whisker touch.
Meisam Habibi Matin, Shulan Xiao, Krishna Jayant   +2 more
wiley   +1 more source

Quantum dephasing induced by non-Markovian random telegraph noise. [PDF]

Sci Rep, 2020
Cai X.
europepmc   +1 more source

Temporal Interference Stimulation Enhances Neural Regeneration

Advanced Science, EarlyView.
Temporal interference (TI) stimulation is proposed as a non‐invasive approach to enhance neural regeneration in the deep brain. Theta‐band TI modulation selectively promotes neural progenitor cell differentiation in vitro and augments hippocampal neurogenesis in amouse model of Alzheimer's disease‐like amyloidosis.
Sofia Peressott, Maria Garcia Garrido, Patrycja Dzialecka, Rachel Man Hoi Law, Roberto Portillo‐Lara, Bethany Geary, Elena Faillace, Shirine Merlo‐Nikpay Aslie, Marcelina Wojewska, Maria Otero‐Jimenez, Martina Genta, Luqiao Tan, Karen Duff, Javier Alegre‐Abarrategui, Rylie Green, Nir Grossmann   +15 more
wiley   +1 more source

Functional Disorder at the Neural Interface: How Disordered Nanostructures Promote Proper Growth and Differentiation in In Vitro Neural Cultures

Advanced Science, EarlyView.
This work provides a practical guide for neuroengineers to design advanced neural interfaces, embracing and tailoring the concept of functional disorder. By bridging 2D and 3D in vitro models, this work highlights how non‐periodic, spatially heterogeneous, multiscale nanotopography can enable more physiologically relevant platforms for studying neural ...
F. Maita, E. Palmieri, I. Lucarini, L. Montaina, L. Maiolo   +4 more
wiley   +1 more source

Harnessing Phase Separation for the Development of High‐Performance Hydrogels

Advanced Science, EarlyView.
ABSTRACT Hydrogels are indispensable for the development of next‐generation bioelectronics, soft robotics, and biomedical devices, where their mechanical properties determine performance and reliability. Among strategies to enhance hydrogel mechanics, phase separation enables controlled heterogeneity resulting in gel networks that are reinforced by ...
Yue Shao, Yiming Ma, Baihao Shao, Molly M. Stevens   +3 more
wiley   +1 more source

The Synergism of β‐Cyclodextrin and Fe3+ Enabled Anti‐Swelling Ion‐Conductive Hydrogels for Multimodal Underwater Sensing Aided by Machine Learning Algorithms

Advanced Science, EarlyView.
An anti‐swelling ion‐conductive hydrogel is developed via β‐cyclodextrin and Fe3+ synergism, enabling reliable underwater motion sensing and Morse code communication. Integrated with machine learning, the system achieves 98.6% accuracy in real‐time underwater handwriting recognition for rapid information transmission.
Hao Dong, Chuanliu Liu, Yiming Luo, Dongyu Si, Menghan Zhao, Fangyu Zhao, Yixue Zhang, Wei Zeng, Eman Ramadan Elsharkawy, Terence Xiaoteng Liu, Zeinhom M. El‐Bahy, Hua Hou, Zhanhu Guo, Huige Wei   +13 more
wiley   +1 more source

Gecko‐Like Multi‐Directional High‐Power Magneto–Mechano–Electric Energy Harvesters for Self‐Powered, Hundred‐Meter‐Scale LoRa Communication

Advanced Science, EarlyView.
Gecko like multi directional high power magneto mechano electric energy harvester (MME EH) for self powered, hundred meter scale LoRa communication. Inspired by the symmetric and flexible limb motion of geckos, the biomimetic harvester enables coordinated bending twisting responses to weak, low frequency (50/60 Hz) stray magnetic fields from power ...
Shitong Fang, Haoxian Peng, Mingjing Cai, Liuchao Jin, Yuelong Yu, Mianxin Xiao, Qingyang Xu, Jiacheng Hou, Degui Yu, Zhihui Lai, Xin Li, Shuxiang Dong, Biao Wang, Wei‐Hsin Liao   +13 more
wiley   +1 more source

Prediction of Random Telegraph Noise-Induced Threshold Voltage Shift and Its Scaling Dependency Using Machine Learning

IEEE Journal of the Electron Devices Society
Random telegraph noise (RTN) shifts the threshold voltage (Vt) of 3D NAND flash memory cells, making it a key factor of the device malfunction. The aim of this study is to predict the distribution of RTN induced ${\mathrm { V}}_{\mathrm { t}}$ shift in
Eunseok Oh, Hyungcheol Shin
doaj   +1 more source

Flexible IMU Sensor Array For 3D Colonoscope Shape Reconstruction and AI‐Based Loop Detection

Advanced Science, EarlyView.
We propose a sensing platform for 3D visualization of the colonoscope combined with artificial intelligence (AI)‐based loop detection. The system consists of an array of 15 inertial measurement units (IMUs) mounted on a flexible printed circuit board that can be retrofitted into the instrument channel of conventional colonoscopes.
Tuukka Panula, Anni Halkilahti, Andrei Ivanov, Matti Kaisti   +3 more
wiley   +1 more source

Random telegraph noise-based analysis of electron traps of sub-30-nm DRAM cell-array transistors in cryogenic operation

Results in Physics
The electron-traps parameters of the fin-type buried-channel-array transistor (BCAT) in a dynamic random-access memory (DRAM) cell is investigated with a random-telegraph-noise (RTN)-based analysis at various temperatures including 77 K.
Sangwon Lee, Ho Jung Lee, Ga Won Yang, Sungju Choi, Jingyu Park, Seonhaeng Lee, Gang-Jun Kim, Namhyun Lee, Yoon Kim, Myounggon Kang, Rock-Hyun Baek, Changhyun Kim, Ickhyun Song, Dae Hwan Kim   +13 more
doaj   +1 more source