Luca Martis

Orcid: 0009-0002-6501-9506

According to our database1, Luca Martis authored at least 7 papers between 2023 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
SYNtzulu: A Tiny RISC-V-Controlled SNN Processor for Real-Time Sensor Data Analysis on Low-Power FPGAs.
IEEE Trans. Circuits Syst. I Regul. Pap., February, 2025

Enabling SNN-Based Near-MEA Neural Decoding with Channel Selection: An Open-HW Approach.
Proceedings of the Design, Automation & Test in Europe Conference, 2025

SYNtzulA: Open-Source Hardware for Energy-Efficient Spiking Neural Network Inference.
Proceedings of the 22nd ACM International Conference on Computing Frontiers: Workshops and Special Sessions, 2025

2024
Spiking Neural Networks for Near-Sensor Processing: An Open-Hardware Experience.
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.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2024

2023
Spiking Neural Networks for Integrated Reach-to-Grasp Decoding on FPGAs.
Proceedings of the IEEE Biomedical Circuits and Systems Conference, 2023

On-FPGA Spiking Neural Networks for Multi-variable End-to-End Neural Decoding.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2023


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