Project Details
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Geometric-Optical Illusions from Early Visual Cortex: Computational Principles and Top-Down Feedback

Subject Area Biological Psychology and Cognitive Neuroscience
Human Cognitive and Systems Neuroscience
Term from 2021 to 2023
Project identifier Deutsche Forschungsgemeinschaft (DFG) - Project number 465358224
 
Final Report Year 2023

Final Report Abstract

The project planned to use mathematical model to study the neural dynamics of early visual cortex and use human visual psychophysics experiments to test the perceptual difference between central versus peripheral vision on geometric-optical illusions, aiming to probe their underlying neural mechanism. First, we built an image-computable model of primary visual cortex (V1). Capturing the multiscale orientation encoding properties of V1, the model processes visual inputs from a multiscale steerable pyramid decomposition from a 2D image. These visual inputs are modulated by neural lateral interactions in the model, capturing the essential neurophysiological structure of the visual cortex. The modulated outputs are used to reconstruct a new image. Thus, the model mimics the pre-attentive modulation by V1 mechanism. Second, we conducted a human visual psychophysics experiment with eye-tracking on a visual search task inspired by a flip tilt illusion featuring the difference between central and peripheral vision. Our finding suggested the role of V1 in computing the bottom-up saliency of visual inputs and suggesting a central-peripheral dichotomy in human vision that central and peripheral vision are specialized for visual decoding and visual selection, respectively. These results from the project provide novel insights into the mechanism of V1 on visual information processing and inspire further studies in spatial vision.

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