Results 211 to 220 of about 166,269,521 (296)
The Cognitive and Neural Mechanism of Temporal Expectation
Advances in Psychological Science, 2015 Junjie QIU +3 more
openaire +1 more source
Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges
Advanced Robotics Research, EarlyView.This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder +3 more
wiley +1 more source
Neuroautonomic Adaptive Resilience (NAR): The Proposal of a New Mechanism in the Context of the Neuroscience of Cognitive and Affective Aging. Definition and Operationalization. [PDF]
Wiley Interdiscip Rev Cogn SciFusi G, Colombo B, Caravita SCS.
europepmc +1 more source
Advanced Robotics Research, EarlyView.A magnetic donut‐like millirobot is developed for label‐free pick‐and‐place of a tumor spheroid wirelessly controlled by a magnetic trap. Spheroids are important 3D multicellular culture systems that recapitulate key structural and functional features of native tissues.
Yue Gao +8 more
wiley +1 more source
The electrofluidic brain as a basement layer for neural computation. [PDF]
Commun BiolChakravarthy VS +2 more
europepmc +1 more source
Advanced Robotics Research, EarlyView.Sparse active‐infrared proximity sensing is coupled to an adaptive thigmotactic controller for camera‐inaccessible object retrieval. After grasping, receptor‐informed encoding transforms force, temperature, and wrist force–torque signals into spike trains for spiking neural network recognition.
Fengyi Wang, Nitish Thakor, Gordon Cheng
wiley +1 more source
Cognitive encoding modeling of musical sequences for vocal performance and intelligent music composition. [PDF]
Front PsycholLin S, Zeng G.
europepmc +1 more source
The Cognitive Neural Mechanism of Inattentional Blindness
Advances in Psychological Science, 2014 Hui ZHANG, Jiannong SHI
openaire +1 more source
Deep Contrastive Learning for High‐Throughput Prediction of Drug Resistance Mutations from Sequences
Advanced Science, EarlyView.This study presents DeepMutDTA, a deep learning framework aimed at predicting mutation‐induced changes in protein‐drug interactions and prioritizing variants potentially linked to drug resistance. Trained on large‐scale data, it incorporates SimSiam‐MuTF, a label‐aware contrastive fine‐tuning strategy that encourages separation between WT and MT ...
Xiaowen Hu +7 more
wiley +1 more source