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Motion streaks provide a spatial code for motion direction

Abstract

Although many neurons in the primary visual cortex (V1) of primates are direction selective1, they provide ambiguous information about the direction of motion of a stimulus2,3. There is evidence that one of the ways in which the visual system resolves this ambiguity is by computing, from the responses of V1 neurons, velocity components in two or more spatial orientations and then combining these velocity components2,3,4,5,6,7,8,9. Here I consider another potential neural mechanism for determining motion direction. When a localized image feature moves fast enough, it should become smeared in space owing to temporal integration in the visual system, creating a spatial signal—a ‘motion streak’—oriented in the direction of the motion. The orientation masking and adaptation experiments reported here show that these spatial signals for motion direction exist in the human visual system for feature speeds above about 1 feature width per 100 ms. Computer simulations show that this psychophysical finding is consistent with the known response properties of V1 neurons, and that these spatial signals, when appropriately processed, are sufficient to determine motion direction in natural images.

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Figure 1: The two stimulus conditions in a masking experiment designed to determine whether the neural mechanisms most responsive to moving dots have their preferred spatial orientations parallel or perpendicular to the direction of motion.
Figure 2: Results of forced-choice detection experiment.
Figure 3: Neural simulations.
Figure 4: Results of tilt after-effect experiment.

References

  1. Hubel, D. H. & Wiesel, T. N. Receptive fields and functional architecture of monkey striate cortex. J.Physiol. (Lond.) 195, 215–243 (1968).

    CAS  Article  Google Scholar 

  2. Marr, D. & Ullman, S. Direction selectivity and its use in early visual processing. Proc. R. Soc. Lond. B 212, 151–180 (1981).

    ADS  Google Scholar 

  3. Adelson, E. H. & Movshon, J. A. Phenomenal coherence of moving visual patterns. Nature 300, 523–525 (1982).

    ADS  CAS  Article  Google Scholar 

  4. Albright, T. D. Direction and orientation selectivity of neurons in visual area MT of the macaque. J.Neurophysiol. 52, 1106–1130 (1984).

    CAS  Article  Google Scholar 

  5. Watson, A. B. & Ahumada, A. J. Model of human visual-motion sensing. J. Opt. Soc. Am. A 2, 322–342 (1985).

    ADS  CAS  Article  Google Scholar 

  6. Simoncelli, E. P. & Heeger, D. J. Amodel of neuronal responses in visual area MT. Vision Res. 38, 743–761 (1998).

    CAS  Article  Google Scholar 

  7. Smith, A. T. & Snowden, R. J. (eds) Visual Detection of Motion (Academic, London, (1994).

    Google Scholar 

  8. Derrington, A. & Suero, M. Motion of complex patterns is computed from the perceived motions of their components. Vision Res. 31, 139–149 (1991).

    CAS  Article  Google Scholar 

  9. Stone, L. S., Watson, A. B. & Mulligan, J. B. Effect of contrast on the perceived direction of a moving plaid. Vision Res. 30, 1049–1067 (1990).

    CAS  Article  Google Scholar 

  10. De Valois, R. L., Yund, E. W. & Hepler, N. The orientation and direction selectivity of cells in macaque visual cortex. Vision Res. 22, 531–544 (1982).

    CAS  Article  Google Scholar 

  11. Geisler, W. S. & Albrecht, D. G. Visual cortex neurons in monkeys and cats: Detection, discrimination, and identification. Vis. Neurosci. 14, 897–919 (1997).

    CAS  Article  Google Scholar 

  12. Adelson, E. H. & Bergen, J. R. Spatiotemporal energy models for the perception of motion. J. Opt. Soc. Am. 2, 284–299 (1985).

    ADS  CAS  Article  Google Scholar 

  13. Anderson, C. H. & Van Essen, D. C. Blur into focus. Nature 343, 419–420 (1990).

    ADS  CAS  Article  Google Scholar 

  14. Morgan, M. J. & Benton, S. Motion-deblurring in human vision. Nature 340, 385–386 (1989).

    ADS  CAS  Article  Google Scholar 

  15. Ramachandran, V. S., Madhusudhan Rao, V. & Vidyasagar, T. R. Sharpness constancy during movement perception. Perception 3, 97–98 (1974).

    CAS  Article  Google Scholar 

  16. Burr, D. Motion smear. Nature 284, 164–165 (1980).

    ADS  CAS  Article  Google Scholar 

  17. Burr, D. C. & Morgan, M. J. Motion deblurring in human vision. Proc. R. Soc. Lond. B 264, 431–436 (1997).

    ADS  CAS  Article  Google Scholar 

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Acknowledgements

I thank B. Henning for pointing out the potential value of orientation masking in this context. D. Albrecht, L. Cormack and B. Henning provided helpful discussions as well as comments on the manuscript. Supported by the National Eye Institute, NIH.

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Correspondence to Wilson S. Geisler.

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Geisler, W. Motion streaks provide a spatial code for motion direction. Nature 400, 65–69 (1999). https://doi.org/10.1038/21886

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