AINeutralarXiv – CS AI · Jun 236/10
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On the Identifiability of User Adaptation in Co-Adaptive Neural Interfaces
Researchers demonstrate that closed-loop encoder estimates in co-adaptive neural interfaces cannot uniquely identify individual user adaptation, instead reflecting combined properties of the joint human-machine system. This finding challenges current interpretations of behavioral adaptation in neural interface research and establishes necessary conditions for proper identification of user learning.