Neuromorphic imaging flow cytometry combined with adaptive recurrent spiking neural networks.
Sign Up to like & getrecommendations! Published in 2025 at "Optics express"
DOI: 10.1364/oe.564050
Abstract: We present an experimental imaging flow cytometer using a 1 µs temporal resolution event-based complementary metal-oxide semiconductor (CMOS) camera, with data processed by adaptive feedforward and recurrent spiking neural networks. Our study classifies polymethyl methacrylate… read more here.
Keywords: imaging flow; recurrent spiking; spiking neural; neural networks ... See more keywords
Topological features of spike trains in recurrent spiking neural networks that are trained to generate spatiotemporal patterns
Sign Up to like & getrecommendations! Published in 2024 at "Frontiers in Computational Neuroscience"
DOI: 10.3389/fncom.2024.1363514
Abstract: In this study, we focus on training recurrent spiking neural networks to generate spatiotemporal patterns in the form of closed two-dimensional trajectories. Spike trains in the trained networks are examined in terms of their dissimilarity… read more here.
Keywords: recurrent spiking; spiking neural; spatiotemporal patterns; spike trains ... See more keywords