Federico Corradi

Assistant Professor in Electrical Engineering, researches neuromorphic computing, from models to microelectronic architectures for efficient deep learning.

Contributions

Activity Timeline

2023

The Microbrain architecture combines asynchronous processing and Forward Propagation Through Time (FPTT) to train 6.2-million-neuron SNNs.