SNN4Agents: a framework for developing energy-efficient embodied spiking neural networks for autonomous agents
Article in Frontiers in Robotics and AI (July 2024)
The most recent citing publications are shown below. View all 10 publications that cite this research output on Dimensions.
Securing On-Chip Learning: Navigating Vulnerabilities and Potential Safeguards in Spiking Neural Network Architectures
Conference proceeding (May 2024)
Quantization-Aware Training of Spiking Neural Networks for Energy-Efficient Spectrum Sensing on Loihi Chip
Article in IEEE Transactions on Green Communications and Networking (November 2023)