2 papers
cs.NE2024
Learning-to-learn enables rapid learning with phase-change memory-based in-memory computing
Thomas Ortner, Horst Petschenig, Athanasios Vasilopoulos +7
There is a growing demand for low-power, autonomously learning artificial intelligence (AI) systems that can be applied at the edge and rapidly adapt to the specific situation at d…
cs.NE2022
Memory-enriched computation and learning in spiking neural networks through Hebbian plasticity
Thomas Limbacher, Ozan Özdenizci, Robert Legenstein
Memory is a key component of biological neural systems that enables the retention of information over a huge range of temporal scales, ranging from hundreds of milliseconds up to y…