Results 141 to 150 of about 68,095 (317)
Resilience and Robustness of Spiking Neural Networks for Neuromorphic Systems
Catherine D. Schuman +6 more
openalex +2 more sources
Nanoporous Microelectrodes for Neural Electrophysiology Recordings in Organotypic Culture
The highly porous microelectrodes have been designed and printed on culture membranes, allowing to record electrophysiological neural activity for rodent brain slices. To keep the biocompatible nanoporous structure, the microelectrodes and insulative layer are fabricated on the bottom of culture membranes with only small connector pads added on the top.
Petro Lutsyk +3 more
wiley +1 more source
Training multi-layer spiking neural networks with plastic synaptic weights and delays
Spiking neural networks are usually considered as the third generation of neural networks, which hold the potential of ultra-low power consumption on corresponding hardware platforms and are very suitable for temporal information processing. However, how
Jing Wang
doaj +1 more source
A fault segment location method for distribution networks based on spiking neural P systems and Bayesian estimation [PDF]
Yi Wang, Tao Wang, Liyuan Liu
openalex +1 more source
This review explores advances in wearable and lab‐on‐chip technologies for breast cancer detection. Covering tactile, thermal, ultrasound, microwave, electrical impedance tomography, electrochemical, microelectromechanical, and optical systems, it highlights innovations in flexible electronics, nanomaterials, and machine learning.
Neshika Wijewardhane +4 more
wiley +1 more source
RetinaNet Object Detector based on Analog-to-Spiking Neural Network\n Conversion [PDF]
Joaquín Royo-Miquel +3 more
openalex +1 more source
Flexible Sensor‐Based Human–Machine Interfaces with AI Integration for Medical Robotics
This review explores how flexible sensing technology and artificial intelligence (AI) significantly enhance human–machine interfaces in medical robotics. It highlights key sensing mechanisms, AI‐driven advancements, and applications in prosthetics, exoskeletons, and surgical robotics.
Yuxiao Wang +5 more
wiley +1 more source
Robots can learn manipulation tasks from human demonstrations. This work proposes a versatile method to identify the physical interactions that occur in a demonstration, such as sequences of different contacts and interactions with mechanical constraints.
Alex Harm Gert‐Jan Overbeek +3 more
wiley +1 more source
TreeSpider: In‐Canopy Exploration With Tether‐Based Aerial Modular Arms
A tethered drone with perching arms and a 360° ring enables unprecedented maneuverability within dense forest canopies. By dynamically adjusting tether length and decoupling pitch from the frame, it navigates between branches, senses multiple trees, and interacts physically with foliage.
Luca Romanello +7 more
wiley +1 more source

