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Published on: May 2, 2019
Modelling the spatial tuning of the Hermann grid illusion.
Michael J Cox1, J B Ares-Gomez, I E Pacey
1Department of Optometry, University of Bradford, Richmond Rd., Bradford, West Yorkshire BD7 1DP, UK. M.Cox@bradford.ac.uk
Spatial Vision
|August 25, 2007
Summary
A model of retinal ganglion cell receptive fields accurately predicts the spatial tuning of the Hermann Grid Illusion. This suggests a single cell type can explain the illusion
Area of Science:
- Neuroscience
- Computational Neuroscience
- Visual Perception
Background:
- The Hermann Grid Illusion (HGI) is a visual phenomenon where gray blobs appear at the intersections of a white grid on a black background.
- Understanding the neural basis of visual illusions like the HGI is crucial for comprehending visual processing.
Purpose of the Study:
- To determine if a physiologically plausible model of retinal ganglion cell (RGC) receptive fields (RFs) can predict the spatial tuning properties of the HGI.
- To investigate the relationship between RGC RF characteristics and the perception of the HGI.
Main Methods:
- Psychophysical measurements of HGI spatial tuning using a nulling technique in normal observers.
- Utilizing a computational model based on a standard RGC RF, balanced for uniform illumination.
- Comparing model predictions with psychophysical data under various stimulus conditions.
Main Results:
- Both the model and psychophysical data exhibited broad spatial tuning with similar profiles and illusion strengths.
- Model RGC RF center sizes were smaller than human anatomical estimates but consistent with primate physiological data.
- Illusion strength varied with grid line luminance, with a more pronounced effect when measured as Michelson nulling contrast.
Conclusions:
- A model based on RGC RFs effectively replicates the spatial tuning characteristics of the HGI.
- The broad tuning observed does not necessitate a wide variety of cell sizes in the visual pathway.
- This RGC RF model provides a strong basis for understanding the neural mechanisms underlying the HGI.

