SpikingNeRF: Making Bio-inspired Neural Networks See through the Real World

1 code implementation • 20 Sep 2023 • Xingting Yao, Qinghao Hu, Fei Zhou, Tielong Liu, Zitao Mo, Zeyu Zhu, Zhengyang Zhuge, Jian Cheng

In SpikingNeRF, each sampled point on the ray is matched to a particular time step and represented in a hybrid manner where the voxel grids are maintained as well.

NeRF

GLIF: A Unified Gated Leaky Integrate-and-Fire Neuron for Spiking Neural Networks

1 code implementation • 25 Oct 2022 • Xingting Yao, Fanrong Li, Zitao Mo, Jian Cheng

In this paper, we propose GLIF, a unified spiking neuron, to fuse different bio-features in different neuronal behaviors, enlarging the representation space of spiking neurons.