Direct training high-performance deep spiking neural networks: a review of theories and methods
Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial
neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal …
neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal …
Spiking NeRF: Representing the Real-World Geometry by a Discontinuous Representation
A crucial reason for the success of existing NeRF-based methods is to build a neural density
field for the geometry representation via multiple perceptron layers (MLPs). MLPs are …
field for the geometry representation via multiple perceptron layers (MLPs). MLPs are …