Results 201 to 210 of about 6,527,322 (289)

NeuroSuite for Long‐Term Functional and Structural Studies of Air‐Liquid Interface Cerebral Organoids

Advanced Science, EarlyView.
NeuroSuite provides a modular hardware‐software platform integrating Neuroweb and NeuroMaps to enable long‐term, in situ electrophysiological interrogation of air–liquid interface organoid slices while preserving tissue architecture. Its components can be used together or independently to capture real‐time activity, spatial network dynamics, and ...
Belquis Haider, Sagnik Middya, Daniel J. Lloyd‐Davies‐Sánchez, Nino F. Läubli, Sulay Vora, Jakob Träuble, Rohan N. Krajeski, Yuqing Feng, Daniel Duncko, Josiah S. Riley, Rubén Ruiz‐Mateos Serrano, Ole Paulsen, Madeline A. Lancaster, George G. Malliaras, Gabriele S. Kaminski Schierle   +14 more
wiley   +1 more source

A New Incremental Learning Method Based on Rainbow Memory for Fault Diagnosis of AUV. [PDF]

Sensors (Basel)
Li Y, Ye Y, Zhang Z, Wen L.
europepmc   +1 more source

A Critical Time Window of Neocortex Modulation for Remote Fear Memory in Rats and Humans

Advanced Science, EarlyView.
This study identifies a delayed consolidation window around 18 h after fear learning in the mPFC essential for remote fear memory. VTA dopaminergic input during this window sustains remote memory in rats, while non‐invasive stimulation of homologous human mPFC at the corresponding time selectively weakens remote but not recent fear memory, revealing a ...
Lu Cao, Yu‐Xin Zhang, Xiao‐Xing Liu, Zi‐Hang Li, Tang‐Sheng Lu, Jia‐Hui Deng, Wen Zhang, Peng Li, Xiao Lin, Shu‐Fei Feng, Ting‐Ting Li, Shi‐Qiu Meng, Xiang‐Dong Tang, Tian‐Ye Jia, Trevor W. Robbins, Jie Shi, Ying Han, Yan‐Xue Xue, Lin Lu, Kai Yuan   +19 more
wiley   +1 more source

A spatially aware global and local perspective approach for few-shot incremental learning. [PDF]

Sci Rep
Wu H, Zheng Z, Lv L, Xu Y, Bardou D, Niu S, Yu G, Wang Y.   +7 more
europepmc   +1 more source

Physics‐Embedded Neural Network: A Novel Approach to Design Polymeric Materials

Advanced Science, EarlyView.
Traditional black‐box models for polymer mechanics rely solely on data and lack physical interpretability. This work presents a physics‐embedded neural network (PENN) that integrates constitutive equations into machine learning. The approach ensures reliable stress predictions, provides interpretable parameters, and enables performance‐driven, inverse ...
Siqi Zhan, Hengheng Zhao, Haotian Wang, Zhanjie Liu, Qian Li, Weifeng Zhang, Qingsong Zhao, Liqun Zhang, Jun Liu   +8 more
wiley   +1 more source

Dynamic Monitoring Method of Polymer Injection Molding Product Quality Based on Operating Condition Drift Detection and Incremental Learning. [PDF]

Polymers (Basel)
Shen G, Li S, Zhang Y, Zhou H, Li M.
europepmc   +1 more source

Overcoming Artificial Structures in Resolution‐Enhanced Hi‐C Data by Signal Decomposition and Multi‐Scale Attention

Advanced Science, EarlyView.
Deep‐learning‐based signal enhancement is an effective way to recover high‐resolution details from a low‐resolution chromatin contact map. However, due to computational challenges, existing methods commonly divide up the contact map into small patches and create artificial discontinuities at patch boundaries.
Qinyao Li, Kelly Yichen Li, Chiara Nicoletti, Stephen Kwok‐Wing Tsui, Pier Lorenzo Puri, Qin Cao, Kevin Y. Yip   +6 more
wiley   +1 more source

Ethical Precision in Nanoscale Brain Interfacing

Advanced Science, EarlyView.
As brain interfaces approach the nanoscale, precision no longer only measures—it knows, predicts, and potentially reshapes the mind. This work argues that traditional ethics fails under such conditions and proposes a shift toward continuous, operation‐based governance using the recovery–discovery framework to track, constrain, and responsibly steer ...
Guilherme Wood
wiley   +1 more source

Parameter-Free Statistical Generator-Based Class Incremental Learning for Multi-User Physical Layer Authentication in the Industrial Internet of Things. [PDF]

Sensors (Basel)
Zhao W, Guo Y, Huang Y, Chen Y, Chen L.
europepmc   +1 more source

Physics‐Constrained Constitutive Learning of Rate‐Limiting Timescales for Efficient Hydrogen‐Based Direct Reduction for Green Steel Making

Advanced Science, EarlyView.
A conversion‐resolved constitutive framework is developed for the hydrogen‐based direct reduction of iron oxide pellets. Effective reaction and transport timescales are inferred directly from measured trajectories and mapped against operating conditions, pellet architecture, and composition. The analysis reveals how late‐stage transport control emerges
Anurag Bajpai, Barak Ratzker, Pasquale Cavaliere, Dierk Raabe   +3 more
wiley   +1 more source