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Multiplexed BOLD oscillations reveal the interplay of normalization and attention
Monkey electrophysiology has linked attention to divisive normalization, yet noninvasive evidence in humans remains limited. We use frequency tagged fMRI to isolate visual cortical populations that simultaneously encode multiple competing inputs. We show that responses of these sites are suppressed during inattention and enhanced during attention, consistent with the normalization model, which predicts that attention selectively disinhibits competing inputs, offering a noninvasive translational bridge to study fine-grained computations underlying attentional selection.
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