INRC - Principled development of drastically improved architectures and algorithms for computing and learning with spiking neurons on Loihi

We will apply biologically inspired ideas for drastically improving the computational performance and learning capability of recurrent networks of spiking neurons on Loihi through the introduction of working memory capabilities. In addition, we will introduce new principles for creating and improving computing and learning performance of these networks through Learning-to-Learn.