TY - GEN
T1 - Time dissociative characteristics of numerical inductive reasoning
T2 - 2007 International Joint Conference on Neural Networks, IJCNN 2007
AU - Liang, Peipeng
AU - Zhong, Ning
AU - Wu, Jinglong
AU - Lu, Shengfu
AU - LIU, Jiming
AU - Yao, Yiyu
N1 - Copyright:
Copyright 2008 Elsevier B.V., All rights reserved.
PY - 2007
Y1 - 2007
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=51749095078&partnerID=8YFLogxK
U2 - 10.1109/IJCNN.2007.4371073
DO - 10.1109/IJCNN.2007.4371073
M3 - Conference proceeding
AN - SCOPUS:51749095078
SN - 142441380X
SN - 9781424413805
T3 - IEEE International Conference on Neural Networks - Conference Proceedings
SP - 873
EP - 879
BT - The 2007 International Joint Conference on Neural Networks, IJCNN 2007 Conference Proceedings
Y2 - 12 August 2007 through 17 August 2007
ER -