An auditing framework for brain-to-audio retrieval isolates structural, stimulus-locked, and contextual performance sources via controls and a new Group Context Bias intervention, showing reduced performance under strict settings and measurable contextual gains.
Broderick, Andrew J
2 Pith papers cite this work. Polarity classification is still indexing.
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2026 2verdicts
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The CPA-PA metric approximates ground-truth neural activity via CCA alignment and participant averaging, yielding 300-1000% better single-participant evaluations than conventional scores on synthetic and real MEEG data.
citing papers explorer
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What Are We Actually Decoding? Source Attribution for Non-Invasive Brain-to-Language Retrieval
An auditing framework for brain-to-audio retrieval isolates structural, stimulus-locked, and contextual performance sources via controls and a new Group Context Bias intervention, showing reduced performance under strict settings and measurable contextual gains.
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Robust Evaluation of Neural Encoding Models via ground-truth approximation
The CPA-PA metric approximates ground-truth neural activity via CCA alignment and participant averaging, yielding 300-1000% better single-participant evaluations than conventional scores on synthetic and real MEEG data.