GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL

no code implementations • 24 Apr 2024 • Lang Qin, ZiMing Wang, Runhao Jiang, Rui Yan, Huajin Tang

Spiking neural networks (SNNs) are widely applied in various fields due to their energy-efficient and fast-inference capabilities.

reinforcement-learning Reinforcement Learning (RL)

EAS-SNN: End-to-End Adaptive Sampling and Representation for Event-based Detection with Recurrent Spiking Neural Networks

no code implementations • 19 Mar 2024 • ZiMing Wang, Ziling Wang, Huaning Li, Lang Qin, Runhao Jiang, De Ma, Huajin Tang

Event cameras, with their high dynamic range and temporal resolution, are ideally suited for object detection, especially under scenarios with motion blur and challenging lighting conditions.

object-detection Object Detection

Temporal Conditioning Spiking Latent Variable Models of the Neural Response to Natural Visual Scenes

no code implementations • NeurIPS 2023 • Gehua Ma, Runhao Jiang, Rui Yan, Huajin Tang

This work presents the temporal conditioning spiking latent variable models (TeCoS-LVM) to simulate the neural response to natural visual stimuli.