Researchers have devised a new mathematical model which helps explain how the brain's networks can learn new information while remaining stable.
Researchers develop a new mathematical model to help better understand how the brain forms, and loses, memories.
Researchers say homeostatic synaptic plasticity facilitates Hebbian plasticity, influencing memory formation and learning.
A new study finds Hebbian plasticity is partially correct.
Researchers report noradrenaline and Hebbian plasticity work in tandem to form memories of fearful events.
The free-energy principle can explain how neural networks minimize energy costs and are optimized for efficiency.
