400奈米
万物有灵性
600页
背景(考古学)
判决
事件(粒子物理)
约束(计算机辅助设计)
计算机科学
心理学
神经认知
重新解读
代表(政治)
认知心理学
事件相关电位
语言学
自然语言处理
脑电图
认知
神经科学
历史
数学
量子力学
几何学
政治学
声学
法学
考古
哲学
物理
政治
作者
Gina R. Kuperberg,Trevor Brothers,Edward W. Wlotko
摘要
Abstract It has been proposed that hierarchical prediction is a fundamental computational principle underlying neurocognitive processing. Here we ask whether the brain engages distinct neurocognitive mechanisms in response to inputs that fulfill versus violate strong predictions at different levels of representation during language comprehension. Participants read three-sentence scenarios in which the third sentence constrained for a broad event structure, e.g. { Agent caution animate-Patient }. High constraint contexts additionally constrained for a specific event/lexical item, e.g. a two-sentence context about a beach, lifeguards and sharks constrained for the event, { Lifeguards cautioned Swimmers } and the specific lexical item, “swimmers”. Low constraint contexts did not constrain for any specific event/lexical item. We measured ERPs on critical nouns that fulfilled and/or violated each of these constraints. We found clear, dissociable effects to fulfilled semantic predictions (a reduced N400), to event/lexical prediction violations (an increased late frontal positivity ), and to event structure/animacy prediction violations (an increased late posterior positivity/P600 ). We argue that the late frontal positivity reflects a large change in activity associated with successfully updating the comprehender’s current situation model with new unpredicted information. We suggest that the late posterior positivity/P600 is triggered when the comprehender detects a conflict between the input and her model of the communicator and communicative environment. This leads to an initial failure to incorporate new unpredicted input, which may be followed by second-pass attempts to make sense of the discourse through reanalysis, repair, or reinterpretation. Together, these findings provide strong evidence that confirmed and violated predictions at different levels of representation manifest as distinct spatiotemporal neural signatures.
科研通智能强力驱动
Strongly Powered by AbleSci AI