Anthony Zador

Bullet Trains: Parallelizing Training of Temporally Precise Spiking Neural Networks

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 an…