Jean Erik Delanois

This paper uses a biophysically realistic network model to show how sleep replay reorganizes synaptic-weight space to support both old and new memories.

This paper shows that slow-wave sleep interleaves replay of familiar and novel memory traces, enabling new memories to integrate into existing cortical memory without interference.

The paper develops a biophysically realistic human brain model to study how synaptic connectivity influences the emergence of global and local slow waves during slow-wave sleep.

This study shows that sleep prevents catastrophic forgetting in spiking neural networks by reactivating synaptic weights to maintain multiple task representations.

This study shows that sleep replay helps protect old memories from being lost when new memories are learned, by reorganizing synaptic connections to support both memories.