Sabir Jacquir

AstroSNN: astrocyte-augmented spiking neural networks for unsupervised image classification

Simulation results show that incorporating astrocytic modulation consistently enhances classification performance in leaky integrate-and-fire (LIF) networks, including under noisy conditions, and suggest that augmenting simplified astrocytic dynamics can improve robustness and computational capability in SNNs, while also increasing their biological plausibility.