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What research supports the theory / concept that visual information passes through a filter conceptualised similarly to a bottleneck? 


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Research from multiple studies supports the theory that visual information undergoes a bottleneck-like filtering process. The Attentional Blink phenomenon, as studied in experiments by Petersen and Vangkilde, provides evidence for a bottleneck at the encoding stage of visual information processing . Additionally, Concept Bottleneck Models (CBMs) in various domains, such as healthcare quality assessment by Lin et al., demonstrate how human-interpretable concepts act as bottlenecks, allowing for explainability and intervention in decision-making processes . Furthermore, Yang et al. introduce Language Guided Bottlenecks (LaBo) that leverage a language model to define bottlenecks, showcasing their effectiveness in visual recognition tasks, further supporting the concept of bottlenecks in processing visual information . These studies collectively highlight the presence and significance of bottleneck-like mechanisms in the processing of visual information.

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The research paper supports the theory of Concept Bottleneck Models (CBMs) where visual information is processed through a bottleneck of human-interpretable concepts for explainability and intervention.
The research paper "Language in a Bottle" introduces Concept Bottleneck Models (CBMs) that demonstrate how visual information is processed through interpretable bottlenecks, enhancing understanding and performance in image classification.
Language Guided Bottlenecks (LaBo) in the research paper demonstrate how visual information can pass through concept bottlenecks, aiding interpretable image classification without manual specification.
The research on "Visualizing Information Bottleneck through Variational Inference" supports the theory that neural network training involves two phases: fitting and compression, resembling an information bottleneck.

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