Motion repulsion arises from stimulus statistics when analyzed with a clustering algorithm

Abstract.Motion repulsion is the perceived enlargement of the angle between the directions of motion of two transparently moving patterns. An explanation of this illusion has long been sought for in the neural circuitry of the brain. We show that motion repulsion already arises from the statistical properties of the motion transparency problem when analyzed with a clustering algorithm.

[1]  H R Wilson,et al.  A model for motion coherence and transparency , 1994, Visual Neuroscience.

[2]  Stefan Treue,et al.  Revisiting motion repulsion: evidence for a general phenomenon? , 1999, Vision Research.

[3]  H. Wilson,et al.  Motion Integration over Space: Interaction of the Center and Surround Motion* * This research was first reported at the Annual Meeting of the Association for Research in Vision and Ophthalmology, May 1994 and 1995. , 1997, Vision Research.

[4]  R. Blake,et al.  Direction repulsion in motion transparency , 1996, Visual Neuroscience.

[5]  R. Sekuler,et al.  Mutual repulsion between moving visual targets. , 1979, Science.

[6]  Jeounghoon Kim,et al.  Direction repulsion between components in motion transparency , 1996, Vision Research.

[7]  K. Pearson Contributions to the Mathematical Theory of Evolution , 1894 .

[8]  William Curran,et al.  Directional performance in motion transparency , 2002, Vision Research.

[9]  Lawrence K. Cormack,et al.  Depth attraction and repulsion in random dot stereograms , 1991, Vision Research.

[10]  R. Wessel,et al.  Mixing two sets of noisy measurements changes the N-dependence of resolution to a fourth-root power law , 2004 .

[11]  D. Rubin,et al.  Maximum likelihood from incomplete data via the EM - algorithm plus discussions on the paper , 1977 .

[12]  Geoffrey J. McLachlan,et al.  Finite Mixture Models , 2019, Annual Review of Statistics and Its Application.

[13]  B Moulden,et al.  A Simultaneous Shift in Apparent Direction: Further Evidence for a “Distribution-Shift” Model of Direction Coding , 1980, The Quarterly journal of experimental psychology.

[14]  C. Blakemore,et al.  Lateral Inhibition between Orientation Detectors in the Human Visual System , 1970, Nature.

[15]  G. McLachlan,et al.  The EM algorithm and extensions , 1996 .

[16]  Ehud Zohary,et al.  Correlated neuronal discharge rate and its implications for psychophysical performance , 1994, Nature.