400奈米
一般化
推论
任务(项目管理)
背景(考古学)
归纳推理
认知心理学
心理学
关系(数据库)
自然语言处理
人工智能
认知
计算机科学
生物
数学
事件相关电位
神经科学
数据挖掘
数学分析
古生物学
管理
经济
作者
Xiuling Liang,Feng Xiao,Yuxi Zhu,Yi Lei,Qingfei Chen
标识
DOI:10.1016/j.biopsycho.2020.107951
摘要
Category-based induction task was combined with ERP to unravel whether prior knowledge and property interact when inferring on genes or diseases. Larger P2 amplitudes for near taxonomic/causal distances relative to far ones, as well as larger LPC for taxonomic relation relative to thematic relation, are found in both gene and disease tasks. However, smaller N400 is found for taxonomic relation in gene task and thematic relation in disease task, respectively, and larger LPC at 700-850 ms for near taxonomic distance in the gene task and near causal distance in the disease task. These results suggested that the category-based inductive reasoning is context-sensitive, and there may be four stages of category-based inductive reasoning: the early automatic comparison of features/relations (P2), features/relations generalization process (N400), the extraction of common relationship/rule (LPC at 550-700 ms), the inference generation (LPC at 700-850 ms).
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