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Carnegie Mellon University
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RABBiT can accurately predict brain responses to speech with just 10 minutes of participant data, outperforming traditional models and enabling scalable population-level studies.
Forget painstakingly reverse-engineering individual models – this work lets you check if two black-box neural nets "think" alike under the hood, even without knowing exactly *how* they think.
