Deep Learning Researcher • ISTI-CNR • Pisa • Italy
Computer Engineer MSc and Computer Science PhD graduate @unipi. Currently working as a PostDoc researcher at ISTI-CNR, Pisa, in the field of Machine Learning. My research interests involve biologically inspired Deep Learning approaches, in particular Hebbian learning and Spiking Neural Networks, and efficient neural network architectures. Strongly focused on Computer Vision, but with a broad background also on other Artificial Intelligence domains.
My CV: link
GitHub repo on Hebbian learning, and a preliminary version of my neurolab package, a Pytorch-based framework for deep learning experiments.
SpikingGrid repo on GitHub: a biologically realistic simulator of neuronal cultures stimulated by Multi-Electrode Array (MEA) devices, that I developed as part of a larger project, in collaboration with neuroscience colleagues, aimed at using biological neuronal cultures for AI tasks. The simulated culture was applied on digit recognition tasks.
Efficient Deep Learning architectures for video understanding repo.
More on my GitHub profile.
Check my Google Scholar profile.
E-mail: gabriele.lagani@gmail.com
Linked-in: linkedin.com/in/g-lagani