School of Psychology, University of Sussex, Brighton, UK.
MRC Cognition and Brain Sciences Unit, University of Cambridge, Cambridge, UK.
Nat Commun. 2024 Nov 18;15(1):9984. doi: 10.1038/s41467-024-53782-5.
We use MEG and fMRI to determine how predictions are combined with speech input in superior temporal cortex. We compare neural responses to words in which first syllables strongly or weakly predict second syllables (e.g., "bingo", "snigger" versus "tango", "meagre"). We further compare neural responses to the same second syllables when predictions mismatch with input during pseudoword perception (e.g., "snigo" and "meago"). Neural representations of second syllables are suppressed by strong predictions when predictions match sensory input but show the opposite effect when predictions mismatch. Computational simulations show that this interaction is consistent with prediction error but not alternative (sharpened signal) computations. Neural signatures of prediction error are observed 200 ms after second syllable onset and in early auditory regions (bilateral Heschl's gyrus and STG). These findings demonstrate prediction error computations during the identification of familiar spoken words and perception of unfamiliar pseudowords.
我们使用 MEG 和 fMRI 来确定预测信息是如何与语音输入结合在一起来到颞上皮质的。我们比较了在强预测和弱预测条件下，大脑对首音节强烈或微弱预测次音节的单词（例如“bingo”“snigger”与“tango”“meagre”）的神经反应。我们还比较了在感知假词时，预测与输入不匹配时对相同次音节的神经反应（例如“snigo”和“meago”）。当预测与感觉输入匹配时，强预测会抑制次音节的神经表示，但当预测与输入不匹配时，会产生相反的效果。计算模拟表明，这种相互作用与预测误差一致，而与其他（锐化信号）计算不一致。在次音节出现后 200 毫秒和早期听觉区域（双侧海氏回和颞上回）观察到了预测误差的神经特征。这些发现表明，在识别熟悉的口语单词和感知不熟悉的假词时，会进行预测误差计算。
