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20222025
most citedSpiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks

50 citations · 143 across the 13 of their papers we have counts for

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Showing 2024Show all

6 papers · 1 filter

cs.ET2024★ 6 cited

Neuromorphic Heart Rate Monitors: Neural State Machines for Monotonic Change Detection

Alessio Carpegna, Chiara De Luca, Federico Emanuele Pozzi +4

Detecting monotonic changes in heart rate (HR) is crucial for early identification of cardiac conditions and health management. This is particularly important for dementia patients…

cs.NE2024★ 6 cited

Compressed Latent Replays for Lightweight Continual Learning on Spiking Neural Networks

Alberto Dequino, Alessio Carpegna, Davide Nadalini +4

Rehearsal-based Continual Learning (CL) has been intensely investigated in Deep Neural Networks (DNNs). However, its application in Spiking Neural Networks (SNNs) has not been expl…

cs.NE2024★ 6 cited

SpikeExplorer: hardware-oriented Design Space Exploration for Spiking Neural Networks on FPGA

Dario Padovano, Alessio Carpegna, Alessandro Savino +1

One of today's main concerns is to bring Artificial Intelligence power to embedded systems for edge applications. The hardware resources and power consumption required by state-of-…

cs.NE2024★ 10 cited

SpikingJET: Enhancing Fault Injection for Fully and Convolutional Spiking Neural Networks

Anil Bayram Gogebakan, Enrico Magliano, Alessio Carpegna +3

As artificial neural networks become increasingly integrated into safety-critical systems such as autonomous vehicles, devices for medical diagnosis, and industrial automation, ens…

cs.NE2024★ 34 cited

Spiker+: a framework for the generation of efficient Spiking Neural Networks FPGA accelerators for inference at the edge

Alessio Carpegna, Alessandro Savino, Stefano Di Carlo

Including Artificial Neural Networks in embedded systems at the edge allows applications to exploit Artificial Intelligence capabilities directly within devices operating at the ne…

cs.AR2024★ 3 cited

A Micro Architectural Events Aware Real-Time Embedded System Fault Injector

Enrico Magliano, Alessio Carpegna, Alessadro Savino +1

In contemporary times, the increasing complexity of the system poses significant challenges to the reliability, trustworthiness, and security of the SACRES. Key issues include the…