When peripheral vision is refractory to predictions, extrapolation and memory effects
- Date: Mar 15, 2024
- Time: 11:00 AM - 12:30 PM (Local Time Germany)
- Speaker: Dr. Marco Bertamini
- Visual Perception Lab, University of Padova, Italy
- Location: Max-Planck-Ring 8
- Room: room 203 + zoom
- Host: Zhaoping Li (Junhao Liang)
- Contact: maria.pavlovic@tuebingen.mpg.de
There are important differences between central and peripheral vision.
With respect to shape, contours retain phenomenal sharpness, although clutter
makes identification hard, and some contours disappear if they are near other
contours. Because of this, physically uniform textures may appear non-uniform: Honeycomb
illusion (Bertamini et al., 2016). For extended textures or repeated patterns,
it is reasonable to expect that continuity helps preserve the phenomenal
appearance outside central vison. Other mechanisms may also be important, for
extended surfaces uniformity may have ecological foundation, and provide
a strong prior. Some aspects enter awareness only if attention is directed to
the region of the periphery. Otherwise, summary statistics are extracted and
patterns with identical statistics are experienced as the same. Finally,
peripheral appearance may also largely depend on memory. I will focus on
examples in which physical continuity of a texture does not contribute to
phenomenal continuity. A perceptual boundary becomes visible (although
illusory), creating a phenomenal separation between central and peripheral
vision. Because the texture is physically uniform its statistics are the same
as in central vision. Moreover, multiple fixations do not accumulate effective
information. To explain these cases I will argue that some of the specific
properties of peripheral vision are independent of central vision and covert
attention. But this does not mean that these mechanisms are not
adaptive, the explanation for how objects appear in the periphery is a need to
achieve constancy. Adaptive mechanisms are not necessarily perfect, and that is
why illusions are interesting and illuminating.