Adolescence is widely thought to be a time when the brain trims away excess neural connections, refining circuits through synaptic pruning. New research now suggests this view may be incomplete.

The hippocampus follows a "tabula plena" model, starting with dense, random connections that are pruned into an efficient ...

Can AI learn by shrinking? A new study introduces a development-inspired continual learning framework for spiking neural networks.

A study shows hippocampal networks begin dense and randomly connected, then prune into refined circuits, improving efficiency ...

How does artificial intelligence continue to improve its capabilities? For a long time, expanding model size has been regarded as an important way to ...

Researchers have developed TD-MCL, a spiking neural network framework inspired by how infant brains grow and prune synapses. The method enables AI to learn new tasks without forgetting old ones while ...

Just as pruning tree branches helps them grow better, a study has found that appropriately "pruning" neural circuits in the ...

A new study reveals that neuron networks in the brain's hippocampus, the memory centre, become sparser but more structured and refined as animals mature.