How comparatively widespread are visual illusions?

2019 ◽  
Vol 133 (4) ◽  
pp. 417-418
Author(s):  
Todd M. Freeberg
Keyword(s):  
Visual Illusions

Visual illusions help reveal the primitives of number perception.

2019 ◽  
Vol 148 (10) ◽  
pp. 1675-1687
Author(s):  
Edwina Picon ◽  
Denitza Dramkin ◽  
Darko Odic
Keyword(s):  
Visual Illusions ◽  
Number Perception

Do birds experience visual illusions?

2007 ◽  
pp. 27-28
Author(s):  
Shu-Rong Wang ◽  
Yu-Qiong Niu ◽  
Rui-Feng Liu ◽  
Le-Qing Wu ◽  
Qian Xiao
Keyword(s):  
Visual Illusions

scholarly journals A Cortical-Inspired Sub-Riemannian Model for Poggendorff-Type Visual Illusions

2021 ◽  
Vol 7 (3) ◽  
pp. 41
Author(s):  
Emre Baspinar ◽  
Luca Calatroni ◽  
Valentina Franceschi ◽  
Dario Prandi
Keyword(s):  
Heat Kernel ◽  
Mathematical Description ◽  
Gradient Descent ◽  
Numerical Results ◽  
Visual Illusions ◽  
Efficient Computation ◽  
Functional Architecture ◽  
Descent Algorithms ◽  
Interaction Term

We consider Wilson-Cowan-type models for the mathematical description of orientation-dependent Poggendorff-like illusions. Our modelling improves two previously proposed cortical-inspired approaches, embedding the sub-Riemannian heat kernel into the neuronal interaction term, in agreement with the intrinsically anisotropic functional architecture of V1 based on both local and lateral connections. For the numerical realisation of both models, we consider standard gradient descent algorithms combined with Fourier-based approaches for the efficient computation of the sub-Laplacian evolution. Our numerical results show that the use of the sub-Riemannian kernel allows us to reproduce numerically visual misperceptions and inpainting-type biases in a stronger way in comparison with the previous approaches.

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