Author

Giulia D'Angelo

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Preprint Sep 2026

Can Spiking Neural Networks play pinball? A neuromorphic motion detector for target tracking

Biological visual systems achieve continuous, low-latency motion perception by processing sparse, asynchronous spiking signals, enabling real-time tracking under strict energy constraints. Event-based cameras, inspired by the mammalian retina, replicate this efficiency by capturing only local brightness changes as asyn...

Mazdak Fatahi, Šárka Pryjmaková, Pierre Boulet et al. · 0 citations

Preprint Sep 2026

Efficient Semantic Understanding from Digital Foveation

A lightweight active-vision pipeline that combines saliency-driven fixation selection, high-resolution foveal observations, low-resolution contextual information, semantic accumulation, and adaptive computation is introduced, suggesting that substantial semantic understanding can emerge from sparse observations when co...

Caterina Caccavella, Vittorio Fra, Andreas Ziegler et al. · 0 citations