Results 91 to 100 of about 1,658,183 (243)
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
Neural Oscillations Orchestrate Multisensory Processing
At any given moment, we receive input through our different sensory systems, and this information needs to be processed and integrated. Multisensory processing requires the coordinated activity of distinct cortical areas.
Daniel Senkowski, Julian Keil
core +1 more source
Neuroanatomical dissociation of encoding processes related to priming and explicit memory [PDF]
Priming is a facilitation of cognitive processing with stimulus repetition that can occur without explicit memory. Whereas the functional neuroanatomy of perceptual priming at retrieval is established, encoding processes that initiate priming and ...
Henson, Rik +9 more
core +1 more source
Soft and Transient Bioelectronics Enabled by Polymer‐Free Ti3C2Tx MXene Hydrogels
We present Ti3C2Tx MXene hydrogel (MXgel) bioelectronics, a soft, flexible, and fully transient platform for high‐fidelity neural recording and stimulation. MXgel bioelectronics exhibit exceptional electrical conductivities, low electrochemical impedances, and high charge injection capacities.
Raghav Garg +15 more
wiley +1 more source
Recent Advances of Slip Sensors for Smart Robotics
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 +8 more
wiley +1 more source
Learning Highly Dynamic Skills Transition for Quadruped Jumping Through Constrained Space
A quadruped robot masters dynamic jumps through constrained spaces with animal‐inspired moves and intelligent vision control. This hierarchical learning approach combines imitation of biological agility with real‐time trajectory planning. Although legged animals are capable of performing explosive motions while traversing confined spaces, replicating ...
Zeren Luo +6 more
wiley +1 more source
Multiprocessing neural network simulator
Over the last few years tremendous progress has been made in neuroscience by employing simulation tools for investigating neural network behaviour.
Kulakov, Anton
core +1 more source
A codesign multiobjective optimization framework was developed to enhance the morphology and controller of a snake‐like robot driven by artificial muscles. It improved planar locomotion, agility, and power efficiency. The approach optimized link geometry and controller gains, revealing that shorter muscles near joints and longer linkages maximize ...
Ayla Valles, Mahdi Haghshenas‐Jaryani
wiley +1 more source
Spectral Power Measurement of EEG Neural Oscillation During Emotional Regulation Tasks: A Signal Processing Approach [PDF]
Emotional regulation is a psychological mechanism intricately linked to neural function and cognitive adjustment. Recent progress in neuroscience has shown that neural oscillations significantly influence emotional processing, attentional control, and ...
Akbar Zarina +3 more
doaj +1 more source
Information Transmission Strategies for Self‐Organized Robotic Aggregation
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng +5 more
wiley +1 more source

