The motion aftereffect of transparent motion: Two temporal channels account for perceived direction

Adaptation to orthogonal transparent patterns drifting at the same speed produces a unidirectional motion aftereffect (MAE) whose direction is opposite the average adaptation direction. If the patterns move at different speeds, MAE direction can be predicted by an inverse vector average, using the observer's motion sensitivity to each individual pattern as vector magnitudes. These weights are well approximated by the duration of each pattern's MAE, as measured with static test patterns. However, previous efforts to use the inverse-vector-average rule with dynamic test patterns have failed. Generally, these studies have used spatially and temporally broadband test stimuli. Here, in order to gain insight into the possible contribution of temporal channels, we filtered our test pattern in the temporal domain to produce five ideal, octave-width pass-bands. MAE durations were measured for single-component stimuli drifting at various adaptation speeds and tested at a range of temporal frequencies. Then, two components with orthogonal directions and different speeds were combined and the direction of the resulting MAE was measured. The key findings are that: (i) for a given adaptation speed, the duration of a single component's MAE is dependent on test temporal frequency; (ii) the direction of MAEs produced by transparent motion (i.e., bivectorial adaptation) also varies strongly as a function test temporal frequency (by up to 90 degrees for some speed pairings); and (iii) the inverse-vector-average rule predicts the direction of the transparent MAE provided the MAE durations used to weight the vector combination were obtained from stimuli matched in adaptation speed and test temporal frequency. These results are discussed in terms of the number and shape of temporal channels in our visual system.

[1]  R. Andersen,et al.  Transparent motion perception as detection of unbalanced motion signals. II. Physiology , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[2]  D. Heeger,et al.  Motion Opponency in Visual Cortex , 1999, The Journal of Neuroscience.

[3]  R. A. Andersen,et al.  VI responses to transparent and nontransparent motions , 2004, Experimental Brain Research.

[4]  D. Heeger,et al.  Neuronal Basis of the Motion Aftereffect Reconsidered , 2001, Neuron.

[5]  R A Andersen,et al.  Transparent motion perception as detection of unbalanced motion signals. III. Modeling , 1994, The Journal of neuroscience : the official journal of the Society for Neuroscience.

[6]  R. Blake,et al.  Another means for measuring the motion aftereffect , 1993, Vision Research.

[7]  M. B. Mandler,et al.  A three channel model of temporal frequency perception , 1984, Vision Research.

[8]  A. Johnston,et al.  A unified account of three apparent motion illusions , 1995, Vision Research.

[9]  Frans A. J. Verstraten,et al.  Slow and fast visual motion channels have independent binocular–rivalry stages , 2001, Proceedings of the Royal Society of London. Series B: Biological Sciences.

[10]  Frans A. J. Verstraten,et al.  Aftereffect of High-Speed Motion , 1998, Perception.

[11]  D. Burr,et al.  Spatial and temporal selectivity of the human motion detection system , 1985, Vision Research.

[12]  Frans A. J. Verstraten,et al.  Movement aftereffect of bi-vectorial transparent motion , 1994, Vision Research.

[13]  A. T. Smith,et al.  Two temporal channels or three? A re-evaluation , 1992, Vision Research.

[14]  C. Stromeyer,et al.  Rapid motion aftereffect seen within uniform flickering test fields , 1983, Nature.

[15]  Frans A. J. Verstraten,et al.  A new transparent motion aftereffect , 1999, Nature Neuroscience.

[16]  Frans A. J. Verstraten,et al.  The Motion Aftereffect:A Modern Perspective , 1998 .

[17]  Vision Research , 1961, Nature.

[18]  Frans A. J. Verstraten,et al.  The motion aftereffect , 1998, Trends in Cognitive Sciences.

[19]  A. Pantle,et al.  Motion aftereffect as a function of the contrast of sinusoidal gratings , 1976, Vision Research.

[20]  R Blake,et al.  Another perspective on the visual motion aftereffect. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[21]  R. Hess,et al.  Estimating multiple temporal mechanisms in human vision , 1998, Vision Research.

[22]  R. F. Hess,et al.  Temporal properties of human visual filters: number, shapes and spatial covariation , 1992, Vision Research.

[23]  G. Mather The Movement Aftereffect and a Distribution-Shift Model for Coding the Direction of Visual Movement , 1980, Perception.

[24]  N. Sutherland Figural After-Effects and Apparent Size , 1961 .

[25]  H. Barlow,et al.  Evidence for a Physiological Explanation of the Waterfall Phenomenon and Figural After-effects , 1963, Nature.