Performance Comparison of Motion Encoders: Hassenstein–Reichardt and Two-Detector Models

  • Hideaki Ikeda
  • Toru Aonishi
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 10636)


Several motion-detection models have been proposed based on insect visual system studies. We specifically examine two models, the Hassenstein-Reichardt (HR) model and the two-detector (2D) model, before selecting model the more efficient motion encoders. We analytically obtained the mean and variance of stationary responses of the HR and the 2D models to white noise to evaluate performances of the two models. Especially when analyzing the 2D model, we calculated higher-order cumulants of a rectified Gaussian. Results show that the 2D model gives almost equal performance to that of the HR model in a biologically reasonable case.


Motion detection Neural coding White noise analysis Hassenstein–Reichardt model Two–detector model 



We are deeply grateful to Japanese Neural Network Society for supporting English proofreading.


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Copyright information

© Springer International Publishing AG 2017

Authors and Affiliations

  1. 1.Graduate School of Interdisciplinary Science and EngineeringTokyo Institute of TechnologyMidori-ku, YokohamaJapan
  2. 2.School of ComputingTokyo Institute of TechnologyMidori-ku, YokohamaJapan

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