scholarly journals Biologically inspired neural networks for spatio-temporal planning in robotic navigation tasks

2011 ◽  
Author(s):  
Julien Hirel ◽  
Philippe Gaussier ◽  
Mathias Quoy
Keyword(s):  
Neural Networks ◽  
Robotic Navigation ◽  
Biologically Inspired ◽  
Temporal Planning ◽  
Spatio Temporal

scholarly journals A Survey of Encoding Techniques for Signal Processing in Spiking Neural Networks

2021 ◽  
Author(s):  
Daniel Auge ◽  
Julian Hille ◽  
Etienne Mueller ◽  
Alois Knoll
Keyword(s):  
Artificial Intelligence ◽  
Neural Networks ◽  
Industrial Applications ◽  
Spiking Neural Networks ◽  
Biologically Inspired ◽  
Power Efficient ◽  
Signal Encoding ◽  
Uniform Nomenclature ◽  
Theoretical Foundations ◽  
Do So

AbstractBiologically inspired spiking neural networks are increasingly popular in the field of artificial intelligence due to their ability to solve complex problems while being power efficient. They do so by leveraging the timing of discrete spikes as main information carrier. Though, industrial applications are still lacking, partially because the question of how to encode incoming data into discrete spike events cannot be uniformly answered. In this paper, we summarise the signal encoding schemes presented in the literature and propose a uniform nomenclature to prevent the vague usage of ambiguous definitions. Therefore we survey both, the theoretical foundations as well as applications of the encoding schemes. This work provides a foundation in spiking signal encoding and gives an overview over different application-oriented implementations which utilise the schemes.

scholarly journals Spatio-temporal hybrid neural networks reduce erroneous human “judgement calls” in the diagnosis of Takotsubo syndrome

2021 ◽  
Vol 40 ◽  
pp. 101115
Author(s):  
Fahim Zaman ◽  
Rakesh Ponnapureddy ◽  
Yi Grace Wang ◽  
Amanda Chang ◽  
Linda M Cadaret ◽  
...  
Keyword(s):  
Neural Networks ◽  
Takotsubo Syndrome ◽  
Spatio Temporal ◽  
Hybrid Neural Networks

Spatio-Temporal-Categorical Graph Neural Networks for Fine-Grained Multi-Incident Co-Prediction

2021 ◽  
Author(s):  
Zhaonan Wang ◽  
Renhe Jiang ◽  
Zekun Cai ◽  
Zipei Fan ◽  
Xin Liu ◽  
...  
Keyword(s):  
Neural Networks ◽  
Fine Grained ◽  
Spatio Temporal ◽  
Graph Neural Networks
Sign in / Sign up

Export Citation Format

Share Document