Results 141 to 150 of about 68,442 (287)

A Survey on Spiking Neural Networks

INTERNATIONAL JOURNAL of FUZZY LOGIC and INTELLIGENT SYSTEMS, 2021
Chan Sik Han, Keon Myung Lee
openaire   +2 more sources

Cross‐Scale Hierarchical Targeted Delivery System Based on Small‐Scale Magnetic Robots

Advanced Robotics Research, EarlyView.
This article reviews a cross‐scale hierarchical targeted delivery system that integrates magnetic continuum robots and magnetic microrobots. By combining rapid long‐range navigation with precise microscale targeting, the system overcomes key limitations of single‐scale approaches.
Junjian Zhou, Zhiqiang Chen, Yuanbiao Ma, Zhiqiang Tang, Qianqian Wang   +4 more
wiley   +1 more source

Learning in spiking neural networks.

, 2013
Artificial neural network simulators are a research field which attracts the interest of researchers from various fields, from biology to computer science. The final objectives are the understanding of the mechanisms underlying the human brain, how to reproduce them in an artificial environment, and how drugs interact with them.
openaire   +1 more source

Strategic Design of Soft Actuators in Translational Medical Robotics for Human‐Centered Healthcare

Advanced Robotics Research, EarlyView.
Soft robotics enables biocompatible, compliant medical devices, but clinical translation requires design‐driven engineering beyond materials. This perspective reviews implantable, surgical, and wearable systems by actuation mechanism, highlighting how optimized architectures and integration improve mechanical interfacing, adaptability, and durability ...
Ho Jun Jin, Jimin Kim, Inho Kim, Bong Hoon Kim   +3 more
wiley   +1 more source

BIASNN: a biologically inspired attention mechanism in spiking neural networks for image classification

Scientific Reports
Spiking Neural Networks (SNNs), designed to more accurately model the brain’s neurobiological processes, have been proposed as energy-efficient alternatives to conventional Artificial Neural Networks (ANNs), which typically incur high computational and ...
Kevin Takala, Wachirawut Thamviset, Sartra Wongthanavasu   +2 more
doaj   +1 more source

Root‐Stimulated Movements in Mimosa Pudica for Biohybrid Robotic Systems

Advanced Robotics Research, EarlyView.
This study demonstrates that thermal and electrical stimulation of Mimosa pudica root induces movement of the petiole and pinnules without direct stimulation of the aerial organs, thereby enabling a plant‐based robotic gripper and providing a foundation for the development of intelligent and sustainable systems.
Misao Sato, Kazuya Murakami, Yu Ikeda, Yuki Sakashita, Hayato Kurusu, Ken Yokawa, Jun Shintake   +6 more
wiley   +1 more source

Spark: modular spiking neural networks

Frontiers in Artificial Intelligence
Nowadays, neural networks act as a synonym for artificial intelligence. Present neural network models, although remarkably powerful, are inefficient both in terms of data and energy.
Mario Franco, Carlos Gershenson
doaj   +1 more source

A Central Somatic Transmission Mediates Proprioceptive Facilitation of Muscle Pain

Advanced Science, EarlyView.
Zhang et al. uncover a novel central mechanism for persistent muscle pain, in which TRPA1 sensitization in MeV proprioceptive neurons enhances somatic secretion. This, in turn, disinhibits descending pain control from neighboring noradrenergic locus coeruleus neurons via local GABAergic circuits, thereby promoting inflammatory muscle pain.
Xiaoyu Zhang, Jiale Yang, Xi Wu, Jie Li, Fujian Lu, Yiman Li, Xingyu Du, Rong Huang, Jamila Asgar, Jing Wang, Ke Ren, Feipeng Zhu, Changhe Wang, Yehua Gan, Feng Wei, Zhuan Zhou   +15 more
wiley   +1 more source

Deep spiking neural networks.

, 2018
Neuromorphic Engineering (NE) has led to the development of biologically-inspired computer architectures whose long-term goal is to approach the performance of the human brain in terms of energy efficiency and cognitive capabilities. Although there are a number of neuromorphic platforms available for large-scale Spiking Neural Network (SNN) simulations,
openaire   +2 more sources

Conformable Microelectrode Arrays Integrated with a Scoop‐Shaped Slide‐Well for Dynamic Electrophysiological Profiling of Patient‐Derived Cardiac Organoids

Advanced Science, EarlyView.
A flexible, ultrathin multi‐channel microelectrode array (MEA) conformally integrated onto a curved slide‐well enables stable electrical interfacing with 3D cardiac organoids. The geometry‐guided self‐alignment allows simultaneous recording of extracellular field potentials and contractile motion from irregular, beating tissues.
Ye Seul Kim, Jeonghwa Jeong, Gyeonghwa Heo, Young Woo Kwon, Jeongha Lee, Yoon Ji Jeong, Gyu Tae Park, Seongdo Jeong, Ki Won Hwang, Murim Choi, Jinhong Shin, Suck Won Hong, Jae Ho Kim   +12 more
wiley   +1 more source