Functional generative AI use correlates with better academic performance and enhanced prefrontal-hippocampal brain metrics, whereas socio-emotional use correlates with poorer mental health and reduced superior temporal and amygdalar volumes.
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NERD uses RL-trained diffusion models on fMRI data to model higher-order uncertainty representations, outperforming controls and linking individual differences to neurofeedback success.
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Mapping generative AI use in the human brain: divergent neural, academic, and mental health profiles of functional versus socio emotional AI use
Functional generative AI use correlates with better academic performance and enhanced prefrontal-hippocampal brain metrics, whereas socio-emotional use correlates with poorer mental health and reduced superior temporal and amygdalar volumes.
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Characterizing higher-order representations through generative diffusion models explains human decoded neurofeedback performance
NERD uses RL-trained diffusion models on fMRI data to model higher-order uncertainty representations, outperforming controls and linking individual differences to neurofeedback success.