Papers
1–3 of 3Research Paper·Jan 30, 2026
Fire on Motion: Optimizing Video Pass-bands for Efficient Spiking Action Recognition
Spiking neural networks (SNNs) have gained traction in vision due to their energy efficiency, bio-plausibility, and inherent temporal processing. Yet, despite this temporal capacity, most progress con...
7.0 viability
Research Paper·Mar 9, 2026
Training event-based neural networks with exact gradients via Differentiable ODE Solving in JAX
Existing frameworks for gradient-based training of spiking neural networks face a trade-off: discrete-time methods using surrogate gradients support arbitrary neuron models but introduce gradient bias...
7.0 viability
Research Paper·Mar 12, 2026
Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
Although the temporal spike dynamics of spiking neural networks (SNNs) enable low-power temporal pattern capture capabilities, they also incur inherent inconsistencies that severely compromise represe...
4.0 viability