Papers
1–3 of 3Research Paper·Mar 3, 2026
mlx-snn: Spiking Neural Networks on Apple Silicon via MLX
We introduce mlx-snn, the first spiking neural network (SNN) library built natively on Apple's MLX framework. As SNN research grows rapidly, all major libraries -- snnTorch, Norse, SpikingJelly, Lava ...
7.0 viability
Research Paper·Mar 2, 2026
DynaMoE: Dynamic Token-Level Expert Activation with Layer-Wise Adaptive Capacity for Mixture-of-Experts Neural Networks
Mixture-of-Experts (MoE) architectures have emerged as a powerful paradigm for scaling neural networks while maintaining computational efficiency. However, standard MoE implementations rely on two rig...
6.0 viability
Research Paper·Jan 29, 2026
Hebbian Learning with Global Direction
Backpropagation algorithm has driven the remarkable success of deep neural networks, but its lack of biological plausibility and high computational costs have motivated the ongoing search for alternat...
5.0 viability