Guillaume Lajoie

Learning function from structure in neuromorphic networks

Laura E. Suárez, Blake A. Richards, Guillaume Lajoie et al. · Nature Machine Intelligence · 2021 · 113 citations

Computational Neuroscience, Neuromorphic Networks, Neuronal Network +4

Predictive learning as a network mechanism for extracting low-dimensional latent space representations

Stefano Recanatesi, Matthew Farrell, Guillaume Lajoie et al. · Nature Communications · 2021 · 77 citations · Full text

Chaos and reliability in balanced spiking networks with temporal drive

Guillaume Lajoie, Kevin Lin, Eric Shea‐Brown · Physical Review E · 2013 · 46 citations · Full text

Gradient-based learning drives robust representations in recurrent neural networks by balancing compression and expansion

Matthew Farrell, Stefano Recanatesi, Timothy C. Moore et al. · Nature Machine Intelligence · 2022 · 45 citations

Artificial Intelligence, Sequence Modelling, Engineering +8

Dimensionality compression and expansion in Deep Neural Networks

Stefano Recanatesi, Matthew Farrell, Madhu Advani et al. · arXiv (Cornell University) · 2019 · 42 citations · Full text

Geometric Learning, Engineering, Machine Learning +18