DocumentCode
1943097
Title
Time Dissociative Characteristics of Numerical Inductive Reasoning: Behavioral and ERP Evidence
Author
Liang, Peipeng ; Zhong, Ning ; Wu, Jinglong ; Lu, Shengfu ; Liu, Jiming ; Yao, Yiyu
Author_Institution
Beijing Univ. of Technol., Beijing
fYear
2007
fDate
12-17 Aug. 2007
Firstpage
873
Lastpage
879
Abstract
Although some preliminary spatial localization results have been reported, the temporal characteristics of human inductive reasoning process have not been investigated. In the present study, event-related potential (ERP) was used to explore the time course of inductive reasoning process. Based on pilot studies and some other related research, we hypothesized that the process of numerical inductive reasoning is composed of number recognition, strategy formation, hypothesis generation and validation, and the above three stages are (partially) dissociable over time. A typical task of inductive reasoning, function-finding, was adopted. Induction tasks and calculation tasks were performed in the experiments, respectively. The mean reaction time of induction tasks was much longer than that of calculation tasks as expected. Statistical analysis revealed that induction showed no significant separations from calculation for the early ERP components and the slow waveforms after about 600ms, while marked dissociations appeared for the late components in the time window of about 250-600ms. It can be preliminarily concluded that, the early components before about 250ms may reflect the process of attention and number recognition, the late components may relate to strategy formation, and hypothesis generation and validation may be performed in about 600-1200ms. On the whole, the results on the behavioral data and ERP data support our hypothesis.
Keywords
bioelectric potentials; cognition; electroencephalography; neurophysiology; statistical analysis; ERP; attention; event-related potential; function finding; hypothesis generation; hypothesis validation; number recognition; numerical inductive reasoning; statistical analysis; strategy formation; time dissociative characteristics; Brain; Computer science; Enterprise resource planning; Humans; Induction generators; Neural networks; Neuroscience; Positron emission tomography; Spatial resolution; Statistical analysis;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 2007. IJCNN 2007. International Joint Conference on
Conference_Location
Orlando, FL
ISSN
1098-7576
Print_ISBN
978-1-4244-1379-9
Electronic_ISBN
1098-7576
Type
conf
DOI
10.1109/IJCNN.2007.4371073
Filename
4371073
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