Scaling certainly is one of the next big challenges, the current network sizes severely limit us in our inference performance.
Just to clear things up: Our circuits were actually trained via backprop.
This is what allowed us to reach performance levels very close to equivalently sized but simulated SNNs (and even rather close to the accuracy of ANNs of the same size).
Scaling certainly is one of the next big challenges, the current network sizes severely limit us in our inference performance.
Just to clear things up: Our circuits were actually trained via backprop. This is what allowed us to reach performance levels very close to equivalently sized but simulated SNNs (and even rather close to the accuracy of ANNs of the same size).