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Spiking Neural Networks - Part III: Neuromorphic Communications
Nicolas Skatchkovsky
, Hyeryung Jang
, Osvaldo Simeone
Electrical and Computer Engineering
Research output
:
Contribution to journal
›
Article
›
peer-review
14
Scopus citations
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Keyphrases
Spiking Neural Networks
100%
Neuromorphic
100%
Machine Learning
50%
Communication Protocol
25%
High Performance Computing
25%
Low Power
25%
Wireless Communication
25%
Computing Facility
25%
Artificial Intelligence
25%
Bandwidth-constrained
25%
Battery Power
25%
Wirelessly
25%
Radio Technology
25%
Two-field
25%
Machine Learning Models
25%
Connected Devices
25%
Constrained Channels
25%
Impulse Radio
25%
Federated Learning
25%
Neuromorphic Sensing
25%
Communication Intelligence
25%
Remote Inference
25%
Distributed Training
25%
Engineering
Communication Protocol
100%
Battery (Electrochemical Energy Engineering)
100%
Wireless Communication
100%
Artificial Intelligence
100%
End-Users
100%
Radio Technology
100%
Powered Device
100%
Computer Science
Neural Network
100%
Machine Learning
75%
Communication Protocol
25%
Artificial Intelligence
25%
High-Performance Computing
25%
Wireless Communication
25%
Computing Facility
25%
Radio Technology
25%
Connected Device
25%
impulse radio
25%
Single Location
25%
Federated Learning
25%
Psychology
Neural Network
100%
Artificial Intelligence
25%
Learning Model
25%
Neuroscience
Neural Network
100%
Material Science
Battery (Electrochemical Energy Engineering)
100%