Can Spiking Neural Networks play pinball? A neuromorphic motion detector for target tracking

arXiv:2609.24403 · cs.CV · Submitted 2026-09-21 · Read on arXiv

cs.CV

Submitted: 2026-09-21

Updated: 2026-09-21

Code: https://github.com/pygame/pygame

Terminology

• Accuracy — 77× in this paper · explained in 1 episode
• Angle Readout — 12× in this paper
• Closed-Loop Control — 6× in this paper · explained in 2 episodes
• Optical Flow — 5× in this paper · explained in 2 episodes
• Robustness — 4× in this paper · explained in 5 episodes
• Consistency — 3× in this paper · explained in 3 episodes
• Constant Time Interval — 3× in this paper
• Core — 3× in this paper · explained in 2 episodes
• International Joint Conference on Neural Networks — 3× in this paper
• Benchmark — 2× in this paper · explained in 2 episodes
• Benchmarking — 2× in this paper · explained in 3 episodes
• Dynamic Vision Sensors — 2× in this paper
• Calibration — 1× in this paper · explained in 7 episodes
• Closed-Loop System — 1× in this paper · explained in 4 episodes
• Communication Overhead — 1× in this paper · explained in 2 episodes
• Computational Biology — 1× in this paper · explained in 2 episodes
• Decode — 1× in this paper · explained in 2 episodes
• Downstream Tasks — 1× in this paper · explained in 2 episodes
• Edge Devices — 1× in this paper · explained in 2 episodes
• Feature Extraction — 1× in this paper · explained in 2 episodes
• Feature Selection — 1× in this paper · explained in 4 episodes
• IEEE International Symposium on Circuits and Systems — 1× in this paper
• International Conference on Machine Learning and Applications — 1× in this paper
• Mean Absolute Error — 1× in this paper
• Reinforcement Learning — 1× in this paper · explained in 4 episodes
• Sparsity — 1× in this paper · explained in 4 episodes
• Spiking Neural Networks (SNNs) — 1× in this paper · explained in 3 episodes
• Steering — 1× in this paper · explained in 2 episodes
• Temporal Difference Encoder — 1× in this paper
• Temporal consistency — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• PUCK: Parallel Surface and Convolution-kernel Tracking for Event-Based Cameras
• Event-Based Angular Velocity Regression with Spiking Networks
• ATIS + SpiNNaker: a Fully Event-based Visual Tracking Demonstration
• Deep Event-based Object Detection in Autonomous Driving: A Survey
• EV-FlowNet: Self-Supervised Optical Flow Estimation for Event-based Cameras

Related papers

• Loss Knows Best: Detecting Annotation Errors in Videos via Loss Trajectories
• AnchorWeave: World-Consistent Video Generation with Retrieved Local Spatial Memories
• Benchmarking the Robustness of Foundation Models for Mammography under Domain Shift
• MambaX-Net: Dual-Input Mamba-Enhanced Cross-Attention Network for Longitudinal MRI Segmentation
• TeleOCR: Navigating Document Parsing Across Digital and Camera-Captured Documents
• A Survey on Efficient Vision-Language-Action Models