Meta-Learning through Hebbian Plasticity in Random Networks: https://arxiv.org/abs/2007.02686

Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks” bioRxiv 2022

Computational Neuroscience projects.

NeurIPS AMHN 2023: Neural recordings artifacts preprocessing model and pipeline. Hopfield Deep Neural Networks for Artifact preprocessing in Brain State Decoding

Code for Computational Neuroscience course 2020/2021 @ UniPi

Towards a biologically plausible model of LGN-V1 pathways (Lian et al 2019)