Keywords
structural
bci
Abstract
This review examines probabilistic co-control and structural reasoning under information bottlenecks through an evidence-centered design lens. The analysis asks how uncertainty and compression should affect a decision interface. It treats the relevant unit as a complete pathway from data or physical observations to representation, model output, human interpretation, and accountable action. The cited literature is synthesized without inventing experiments or unreported performance values. Particular attention is given to compressed representations discarding safety-critical distinctions. The review argues that credible translation requires explicit evidence boundaries, uncertainty-aware evaluation, author-visible traceability, and a documented route for intervention. The resulting framework supports brain-to-text and molecular analysis while distinguishing component promise from system readiness.
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