2 papers
cs.NE2024
Natively neuromorphic LMU architecture for encoding-free SNN-based HAR on commercial edge devices
Vittorio Fra, Benedetto Leto, Andrea Pignata +2
Neuromorphic models take inspiration from the human brain by adopting bio-plausible neuron models to build alternatives to traditional Machine Learning (ML) and Deep Learning (DL)…
cs.NE2023
WaLiN-GUI: a graphical and auditory tool for neuron-based encoding
Simon F. Müller-Cleve, Fernando M. Quintana, Vittorio Fra +4
Neuromorphic computing relies on spike-based, energy-efficient communication, inherently implying the need for conversion between real-valued (sensory) data and binary, sparse spik…