ArticleFrontiers in computational neuroscience2015
On the role of spatial phase and phase correlation in vision, illusion, and cognition.
Article in Frontiers in computational neuroscience, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Quantum-Tunnelling Oscillators for Cognitive Modelling and Neural Computation: Foundations, Machine-Vision Realisation and Applications.Entropy (Basel, Switzerland) · 2026Article
- Task-Irrelevant Phase but not Contrast Variability Unlocks Generalization in Visual Perceptual Learning.Journal of cognitive enhancement : towards the integration of theory and practice · 2025Article
- Comparison and extension of three methods for automated registration of multimodal plant images.Plant methods · 2019Article
- Automated Alignment of Multi-Modal Plant Images Using Integrative Phase Correlation Approach.Frontiers in plant science · 2018Article
- A Motion Detection Algorithm Using Local Phase Information.Computational intelligence and neuroscience · 2016Article
- Spatial and Temporal Selectivity of Translational Glass Patterns Assessed With the Tilt After-Effect.i-PerceptionArticle
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Authors and funding
2 authors.
Funding
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Abstract
Numerous findings indicate that spatial phase bears an important cognitive information. Distortion of phase affects topology of edge structures and makes images unrecognizable. In turn, appropriately phase-structured patterns give rise to various illusions of virtual image content and apparent motion. Despite a large body of phenomenological evidence not much is known yet about the role of phase information in neural mechanisms of visual perception and cognition. Here, we are concerned with analysis of the role of spatial phase in computational and biological vision, emergence of visual illusions and pattern recognition. We hypothesize that fundamental importance of phase information for invariant retrieval of structural image features and motion detection promoted development of phase-based mechanisms of neural image processing in course of evolution of biological vision. Using an extension of Fourier phase correlation technique, we show that the core functions of visual system such as motion detection and pattern recognition can be facilitated by the same basic mechanism. Our analysis suggests that emergence of visual illusions can be attributed to presence of coherently phase-shifted repetitive patterns as well as the effects of acuity compensation by saccadic eye movements. We speculate that biological vision relies on perceptual mechanisms effectively similar to phase correlation, and predict neural features of visual pattern (dis)similarity that can be used for experimental validation of our hypothesis of "cognition by phase correlation."
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