Representations in vision and language converge in a shared, multidimensional space of perceived similarities

Keyphrases

• Multidimensional Space 100%
• Perceived Similarity 100%
• Vision-language 100%
• Similarity Judgments 100%
• Visual Similarity 66%
• Sensory Systems 66%
• Behavioral Similarity 66%
• Large Language Models 66%
• Linguistic Similarity 66%
• Natural Scene Images 66%
• Computational Model 33%
• First-order 33%
• Human Brain 33%
• Brain Response 33%
• Conceptual Representation 33%
• Functional Magnetic Resonance Imaging 33%
• Visual System 33%
• Similarity Structure 33%
• Human Visual 33%
• Natural Scenes 33%
• Human Behavior 33%
• Representation Type 33%
• Artificial Systems 33%
• Behavioral Level 33%
• External World 33%
• Image Map 33%
• Brain Representation 33%
• Relational Properties 33%
• AlexNet 33%
• Representational Structure 33%
• Similarity Network 33%
• Modality-specific Features 33%
• Model Embedding 33%
• Structured Representation 33%
• Major Challenges 33%
• Modality Agnostic 33%
• Shared Embedding 33%
• Semantic Feature Space 33%
• Representational Space 33%

Computer Science

• Large Language Model 100%
• Multidimensional Space 100%
• Linguistics 100%
• Perceived Similarity 100%
• Computational Modeling 50%
• Artificial System 50%
• Feature Space 50%
• External World 50%
• Semantic Feature 50%
• Structured Representation 50%
• Representational Format 50%
• Conceptual Representation 50%

Psychology

• Functional Magnetic Resonance Imaging 100%
• Evoked Potential 100%
• Human Brain 100%
• Human Behavior 100%
• Representational Space 100%