“We present MEMprop, the adoption of gradient-based learning to train fully memristive spiking neural networks (MSNNs). Our approach harnesses intrinsic device dynamics to trigger naturally arising ...
In contrast to the common surrogate gradient scheme in (a), the chaotic spiking backpropagation (CSBP) algorithm introduces an additional brain-inspired loss function, losschaos, which comes from the ...
Spiking neural networks (SNNs) capture the most important aspects of brain information processing. They are considered a promising approach for next-generation artificial intelligence. However, the ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results