Metabolic Neural Networks

Networks that prune neurons by their rolling activation rate to save memory, using one local signal and no global supervision. The paper also sets out the limits of burst-based shift detection, and the fact that these networks cannot yet add neurons when they need capacity.

I presented it at the Young Asians summit and came third in the STEM track.