tPoE-EIB constrains EEG diagnosis to selected evidence via tempered product-of-experts fusion, improving auditable selection and integration faithfulness while preserving accuracy.
Smaller units can worsen prediction via fragmentation despite larger windows, while greedy tokenization extends effective context via compression, yielding an information-theoretic framework for representation choices.