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.
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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.