AI RESEARCH
Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks
arXiv CS.LG
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ArXi:2603.13283v1 Announce Type: cross Continuous-time, event-native spiking neural networks (SNNs) operate strictly on spike events, treating spike timing and ordering as the representation rather than an artifact of time discretization. This viewpoint aligns with biological computation and with the native resolution of event sensors and neuromorphic processors, while enabling compute and memory that scale with the number of events.