This work explores how dynamic neural oscillations can be represented in spiking neural networks.

The idea

Theta and gamma rhythms appear repeatedly in memory research, especially in tasks that require recall over time. I am interested in whether those dynamics can be made explicit in a model rather than treated as background noise.

What I want to learn

If the oscillatory state changes how a network writes and reads memory, it may offer a useful mechanism for continual learning and for reducing catastrophic forgetting.

Current direction

I am building simple experimental setups first, then comparing retrieval quality and stability under different temporal patterns.