Jean Erik Delanois

Slow-wave sleep alters the stability landscape of synaptic-weight space allowing life-long learning

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

Interleaved Replay of Novel and Familiar Memory Traces During Slow-Wave Sleep Prevents Catastrophic Forgetting

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.

Emergent effects of synaptic connectivity on the dynamics of global and local slow waves in large-scale thalamocortical network model of the human brain

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.

Sleep prevents catastrophic forgetting in spiking neural networks by forming joint synaptic weight representations

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

Can sleep protect memories from catastrophic forgetting?

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.