“Brain-inspired algorithms for energy-efficient machine learning”
Topics of Interest
- Computational / theoretical neuroscience
- Brain-inspired computing paradigms
- Models for computation and learning in spiking neural networks
- Deep learning
I am a computer scientist working specifically in the fields of computational / theoretical neuroscience, novel brain-inspired computing paradigms, and deep learning. My research focuses on models for computation and learning in spiking neural networks. The aim of my research is to better understand the organization of computation and learning in nervous systems, as well as to apply such paradigms to artificial computing devices.