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Two examples of how contextual information can bias visual perception. Top: Luminance illusion created by shadows (source: https://persci.mit.edu/gallery/checkershadow). Square B looks brighter than square A but has the same luminance, i.e., they have identical grayscale values in the picture. Bottom: Perception of object motion is biased by self-motion. The combination of leftward self-motion and up-left object motion in the world produces retinal motion that is up-right. If the animal partially subtracts the optic flow vector (orange dashed arrow) generated by self-motion (yellow arrow) from the image motion on the retina (black arrow), they may have a biased perception of object motion (red arrow) that lies between retinal and world coordinates (green arrow).
Rewarding animals to accurately report their subjective #percept is challenging. This study formalizes this problem and overcomes it with a #Bayesian method for estimating an animal’s subjective percept in real time during the experiment @plosbiology.org 🧪 plos.io/3HaxiuB
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Two examples of how contextual information can bias visual perception. Top: Luminance illusion created by shadows (source: https://persci.mit.edu/gallery/checkershadow). Square B looks brighter than square A but has the same luminance, i.e., they have identical grayscale values in the picture. Bottom: Perception of object motion is biased by self-motion. The combination of leftward self-motion and up-left object motion in the world produces retinal motion that is up-right. If the animal partially subtracts the optic flow vector (orange dashed arrow) generated by self-motion (yellow arrow) from the image motion on the retina (black arrow), they may have a biased perception of object motion (red arrow) that lies between retinal and world coordinates (green arrow).
Rewarding animals to accurately report their subjective #percept is challenging. This study formalizes this problem and overcomes it with a #Bayesian method for estimating an animal’s subjective percept in real time during the experiment @plosbiology.org 🧪 plos.io/3HaxiuB
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Two examples of how contextual information can bias visual perception. Top: Luminance illusion created by shadows (source: https://persci.mit.edu/gallery/checkershadow). Square B looks brighter than square A but has the same luminance, i.e., they have identical grayscale values in the picture. Bottom: Perception of object motion is biased by self-motion. The combination of leftward self-motion and up-left object motion in the world produces retinal motion that is up-right. If the animal partially subtracts the optic flow vector (orange dashed arrow) generated by self-motion (yellow arrow) from the image motion on the retina (black arrow), they may have a biased perception of object motion (red arrow) that lies between retinal and world coordinates (green arrow).
Rewarding animals to accurately report their subjective #percept is challenging. This study formalizes this problem and overcomes it with a #Bayesian method for estimating an animal’s subjective percept in real time during the experiment @plosbiology.org 🧪 plos.io/3HaxiuB
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