Gianluca Leone

According to our database, Gianluca Leone authored at least 13 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

SYNtzulu: A Tiny RISC-V-Controlled SNN Processor for Real-Time Sensor Data Analysis on Low-Power FPGAs.

Gianluca Leone, Matteo Antonio Scrugli, Lorenzo Badas, Luca Martis, Luigi Raffo, Paolo Meloni

IEEE Trans. Circuits Syst. I Regul. Pap., February, 2025

Real-Time sEMG Processing With Spiking Neural Networks on a Low-Power 5K-LUT FPGA.

Matteo Antonio Scrugli, Gianluca Leone, Paola Busia, Luigi Raffo, Paolo Meloni

IEEE Trans. Biomed. Circuits Syst., February, 2025

Enabling SNN-Based Near-MEA Neural Decoding with Channel Selection: An Open-HW Approach.

Gianluca Leone, Luca Martis, Luigi Raffo, Paolo Meloni

Proceedings of the Design, Automation & Test in Europe Conference, 2025

SYNtzulA: Open-Source Hardware for Energy-Efficient Spiking Neural Network Inference.

Luca Martis, Gianluca Leone, Luigi Raffo, Paolo Meloni

Proceedings of the 22nd ACM International Conference on Computing Frontiers: Workshops and Special Sessions, 2025

2024

On-FPGA Spiking Neural Networks for Integrated Near-Sensor ECG Analysis.

Matteo Antonio Scrugli, Paola Busia, Gianluca Leone, Paolo Meloni

Proceedings of the Design, Automation & Test in Europe Conference & Exhibition, 2024

sEMG-Based Gesture Recognition with Spiking Neural Networks on Low-Power FPGA.

Matteo Antonio Scrugli, Gianluca Leone, Paola Busia, Paolo Meloni

Proceedings of the Design and Architectures for Signal and Image Processing, 2024

Spiking Neural Networks for Near-Sensor Processing: An Open-Hardware Experience.

Luca Martis, Gianluca Leone, Luigi Raffo, Paolo Meloni

Proceedings of the CPS Summer School PhD Workshop 2024 co-located with 6th Edition of the CPS Summer School (CPS 2024), 2024

Exploiting FPGAs and Spiking Neural Networks at the Micro-Edge: The EdgeAI Approach.

Paolo Meloni, Paola Busia, Gianluca Leone, Luca Martis, Matteo Antonio Scrugli

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2024

2023

On-FPGA Spiking Neural Networks for End-to-End Neural Decoding.

Gianluca Leone, Luigi Raffo, Paolo Meloni

IEEE Access, 2023

Spiking Neural Networks for Integrated Reach-to-Grasp Decoding on FPGAs.

Gianluca Leone, Luca Martis, Luigi Raffo, Paolo Meloni

Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

On-FPGA Spiking Neural Networks for Multi-variable End-to-End Neural Decoding.

Gianluca Leone, Luca Martis, Luigi Raffo, Paolo Meloni

Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2023

2022

A Bandwidth-Efficient Emulator of Biologically-Relevant Spiking Neural Networks on FPGA.

Gianluca Leone, Luigi Raffo, Paolo Meloni

IEEE Access, 2022

2020

ZyON: Enabling Spike Sorting on APSoC-Based Signal Processors for High-Density Microelectrode Arrays.

Gianluca Leone, Luigi Raffo, Paolo Meloni

IEEE Access, 2020