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08/22/2023
Energy-Efficient On-Board Radio Resource Management for Satellite Communications via Neuromorphic Computing
The latest satellite communication (SatCom) missions are characterized b...
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02/02/2023
Bayesian Inference on Binary Spiking Networks Leveraging Nanoscale Device Stochasticity
Bayesian Neural Networks (BNNs) can overcome the problem of overconfiden...
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09/24/2022
Neuromorphic Integrated Sensing and Communications
Neuromorphic computing is an emerging technology that support event-driv...
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08/29/2022
Bayesian Continual Learning via Spiking Neural Networks
Among the main features of biological intelligence are energy efficiency...
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06/13/2022
Neuromorphic Wireless Cognition: Event-Driven Semantic Communications for Remote Inference
Neuromorphic computing is an emerging computing paradigm that moves away...
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06/02/2021
Learning to Time-Decode in Spiking Neural Networks Through the Information Bottleneck
One of the key challenges in training Spiking Neural Networks (SNNs) is ...
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12/15/2020
BiSNN: Training Spiking Neural Networks with Binary Weights via Bayesian Learning
Artificial Neural Network (ANN)-based inference on battery-powered devic...
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10/27/2020
Spiking Neural Networks – Part III: Neuromorphic Communications
Synergies between wireless communications and artificial intelligence ar...
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10/27/2020
Spiking Neural Networks – Part II: Detecting Spatio-Temporal Patterns
Inspired by the operation of biological brains, Spiking Neural Networks ...
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10/27/2020
Spiking Neural Networks – Part I: Detecting Spatial Patterns
Spiking Neural Networks (SNNs) are biologically inspired machine learnin...
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09/03/2020
End-to-End Learning of Neuromorphic Wireless Systems for Low-Power Edge Artificial Intelligence
This paper introduces a novel "all-spike" low-power solution for remote ...
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04/20/2020
VOWEL: A Local Online Learning Rule for Recurrent Networks of Probabilistic Spiking Winner-Take-All Circuits
Networks of spiking neurons and Winner-Take-All spiking circuits (WTA-SN...
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10/21/2019
Federated Neuromorphic Learning of Spiking Neural Networks for Low-Power Edge Intelligence
Spiking Neural Networks (SNNs) offer a promising alternative to conventi...
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06/11/2019
