Sleep prevents catastrophic forgetting in spiking neural networks by forming a joint synaptic weight representation. - Ryan Golden; Jean Erik Delanois; Pavel Sanda; Maxim Bazhenov (PLoS Comput. Biol., 2022)

Improving Robustness of Convolutional Networks Through Sleep-Like Replay. - Jean Erik Delanois; Aditya Ahuja; Giri P. Krishnan; Timothy Tadros; Julian J. McAuley; Maxim Bazhenov (ICMLA, 2023)

Sleep-Like Unsupervised Replay Improves Performance When Data Are Limited or Unbalanced (Student Abstract). - Anthony Bazhenov; Pahan Dewasurendra; Giri P. Krishnan; Jean Erik Delanois (AAAI, 2024)

Unsupervised Replay Strategies for Continual Learning with Limited Data. - Anthony Bazhenov; Pahan Dewasurendra; Giri P. Krishnan; Jean Erik Delanois (IJCNN, 2024)

Sleep-Like Unsupervised Replay Improves Performance when Data are Limited or Unbalanced. - Anthony Bazhenov; Pahan Dewasurendra; Giri P. Krishnan; Jean Erik Delanois (CoRR, 2024)

Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in a large-scale thalamocortical network model of the human brain. - Brianna Marsh; M. Gabriela Navas-Zuloaga; Burke Q. Rosen; Yury Sokolov; Jean Erik Delanois; Oscar C. Gonzalez; Giri P. Krishnan; Eric Halgren; Maxim Bazhenov (PLoS Comput. Biol., 2024)

Unsupervised sleep-like processes for enhancing neural networks - Jean Erik Delanois (2024)

When to Learn and When to Stop: Quitting at the Optimal Time (Student Abstract). - Diana Vins; Jean Erik Delanois; Maxim Bazhenov (AAAI, 2025)