Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay

Understanding how humans and artificial intelligence systems predict and plan by interacting with their environment is a fundamental challenge at the intersection of neuroscience and machine learning. Most brain-encoding studies focus on aligning artificial models with brain activity during language comprehension or passive visual processing, while interactive brain-alignment studies have to date been largely limited to reinforcement-learning (RL) agents and theory-based models. To address this

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ethics.ai (19 May 2026), “Brain alignment of reasoning and action representations from vision-language and action models during naturalistic gameplay,” evidence record 4053, https://ethics.ai/record/4053 (originally published by arXiv).

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