Results 141 to 150 of about 4,489,782 (294)

High Throughput Aerosol Jet Printing to Operationalize High Aspect Ratio Patterning

Advanced Materials Technologies, EarlyView.
High‐throughput aerosol jet printing poses distinct limiting mechanisms to the printing process. These include rapidly changing ink chemistries, atomization instabilities, and liquid‐phase spreading. The combination of in‐line heating, process monitoring, and traditional optimization procedures enables rapid printing of high‐aspect‐ratio structures ...
Bella I. Guyll, Md Mahdi Ul Ishtiaque, Md Ramjan Ali, Todd A. Kingston, Ethan B. Secor   +4 more
wiley   +1 more source

Non-Linear Modeling and Precision Analysis Approach for Implantable Multi-Channel Neural Recording Systems

Micromachines
High-precision implantable multi-channel neural recording systems are considered as having a crucial role in the diagnosis and treatment of neurological disorders. However, it is a significant design challenge to achieve an optimal trade-off among linear
Jinyan He, Jian Xu, Yueming Wang
doaj   +1 more source

3D Printed Photon Shield Assembly for Low‐Noise Visual Stimulation During Two‐Photon Imaging in Mice

Advanced Materials Technologies, EarlyView.
We present the Photon Shield, an open‐hardware system for low‐noise two‐photon calcium imaging during visual stimulation in mice. Combining a 3D‐printed headplate and rail‐mounted shield substantially reduces stray‐light contamination, as quantitatively verified. Functional validation confirms reliable cortical responses. Open design files enable broad
Gergely Katona, Andrea Slézia, András Dávid, Ábel Petik, Dániel Hillier, István Ulbert, Attila Kaszás   +6 more
wiley   +1 more source

Toward Perception‐Native Electronic Skin: Bio‐Inspired In‐/Near‐Sensor and Neuromorphic Computing for Humanoid Robots

Advanced Materials Technologies, EarlyView.
Dense tactile streams from across the humanoid body converge on collide in a central wiring and data bottleneck. By relocating computation closer to and then into the skin itself, near‐ and in‐sensor architectures, together with neuromorphic computing, chart a path toward perception‐native electronic skin, in which the conversion of stimulus into ...
Mijin Kim, Chang‐Jae Beak, Jiyoung Park, Youngdo Jung, Sunjong Oh, Sin‐Hyung Lee, Bo‐Yeon Lee   +6 more
wiley   +1 more source

Optimizing EEG-Based Motor Imagery Decoding for Neurorehabilitation: A Deep Learning Framework with Catastrophic Forgetting Mitigation

Applied Sciences
(1) Background: Motor imagery (MI) analysis via electroencephalography (EEG) is crucial for Brain–Machine Interfaces (BMIs) and neurorehabilitation, though inherent EEG noise challenges robust decoding algorithm development for assistive devices aiding ...
Javier V. Juan, Rubén Martínez, Eduardo Iáñez, Mario Ortiz, Jesús Tornero, José M. Azorín   +5 more
doaj   +1 more source

Brain-machine interface learning is facilitated by specific patterning of distributed cortical feedback. [PDF]

Sci Adv, 2023
Abbasi A, Lassagne H, Estebanez L, Goueytes D, Shulz DE, Ego-Stengel V.   +5 more
europepmc   +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

Strong‐Magnetic Flexible Composites for Magnetically Responsive Soft Robots

Advanced Robotics Research, EarlyView.
This perspective provides an overview of the performance mechanisms, preparation methods, and applications of strong magnetic flexible composite materials in soft actuators (such as gripping, movement, and sensing), and further explores current opportunities and challenges.
Wenwen Li, Shuai Liu, Xinyi Wang, Xinglong Gong, Shouhu Xuan   +4 more
wiley   +1 more source

Multimodal Engagement Assessment in Children During Invented Story Paradigm With a Social Robot

Advanced Robotics Research, EarlyView.
A multimodal framework is proposed to assess children's engagement during storytelling interactions with a social robot. Gaze, physiological, and behavioral data are combined and validated against observer ratings. An automated gaze‐labeling strategy is introduced, and supervised classifiers achieve high accuracy. The study supports scalable engagement
Laura Fiorini, Elena Adelucci, Stefano Scatigna, Lorenzo Pugi, Alice Bruni, Benedetta Carotenuto, Chiara Pecini, Filippo Cavallo   +7 more
wiley   +1 more source

The impact of task context on predicting finger movements in a brain-machine interface. [PDF]

Elife, 2023
Mender MJ, Nason-Tomaszewski SR, Temmar H, Costello JT, Wallace DM, Willsey MS, Ganesh Kumar N, Kung TA, Patil P, Chestek CA.   +9 more
europepmc   +1 more source