Results 181 to 190 of about 68,095 (317)

Portfolio Optimization: A Neurodynamic Approach Based on Spiking Neural Networks. [PDF]

Biomimetics (Basel)
Khan AH, Mohammed AM, Li S.
europepmc   +1 more source

Self-cross Feature based Spiking Neural Networks for Efficient Few-shot Learning [PDF]

Qi Xu, Jintao Zhu, Dongdong Zhou, Hao Chen, Yang Liu, Jiangrong Shen, Qiang Zhang   +6 more
openalex   +1 more source

Spiking neural networks

Spiking Neural Networks (SNNs) sind eine spezielle Untergruppe von künstlichen neuronalen Netzen, die Informationen mittels diskreter Spike-Ereignisse verarbeiten. SNNs sind von besonderem Interesse aufgrund ihrer Energieeffizienz und ihrer Ähnlichkeiten zu biologischen neuronalen Netzen.Diese Arbeit hat zum Ziel, einen Überblick über das Gebiet der ...
openaire   +1 more source

Robotic Materials With Bioinspired Microstructures for High Sensitivity and Fast Actuation

Advanced Science, EarlyView.
In the review paper, design rationale and approaches for bioinspired sensors and actuators in robotics applications are presented. These bioinspired microstructure strategies implemented in both can improve the performance in several ways. Also, recent ideas and innovations that embed robotic materials with logic and computation with it are part of the
Sakshi Sakshi, Rohit Pratyush Behera, Hongyu Zhou, Yifan Wang, Hortense Le Ferrand   +4 more
wiley   +1 more source

Spiking Neural Networks in Imaging: A Review and Case Study. [PDF]

Sensors (Basel)
Voudaskas M, MacLean JI, Dutton NAW, Stewart BD, Gyongy I.   +4 more
europepmc   +1 more source

<em>Mosaics</em>, The Best of Both Worlds: Analog devices with Digital Spiking Communication to build a Hybrid Neural Network Accelerator

, 2020
James B. Aimone, Christopher H. Bennett, Suma Cardwell, Ryan Dellana, Patrick Xiao   +4 more
openalex   +2 more sources

Wearable and Implantable Devices for Continuous Monitoring of Muscle Physiological Activity: A Review

Advanced Science, EarlyView.
Recent advances in materials and device engineering enable continuous, real‐time monitoring of muscle activity via wearable and implantable systems. This review critically summarizes emerging technologies for tracking electrophysiological, biomechanical, and oxygenation signals, outlines fundamental principles, and highlights key challenges and ...
Zhengwei Liao, Ata Golparvar, Mohammad Javad Bathaei, Filipe Arroyo Cardoso, Clementine M. Boutry   +4 more
wiley   +1 more source

Ultra-Low Static Power Circuits Addressing the Fan-Out Problem of Analog Neuron Circuits in Spiking Neural Networks

Jong-Hyuk Park, Woo Young Choi
openalex   +1 more source

Spiking Neural Networks [PDF]

, 2010
openaire   +1 more source

Comprehensive Profiling of N6‐methyladnosine (m6A) Readouts Reveals Novel m6A Readers That Regulate Human Embryonic Stem Cell Differentiation

Advanced Science, EarlyView.
This research deciphers the m6A transcriptome by profiling its sites and functional readout effects: from mRNA stability, translation to alternative splicing, across five different cell types. Machine learning model identifies novel m6A‐binding proteins DDX6 and FXR2 and novel m6A reader proteins FUBP3 and L1TD1.
Zhou Huang, Rucong Liu, Zibaguli Wubulikasimu, Wanqing Zhao, Jiaqi Huang, Jiaxuan Wang, Tianyuan Zhang, Rui Fan, Wei Kong, Qinghua Cui, Yang Li, Yuan Zhou   +11 more
wiley   +1 more source