Abstract
Differentiation in human beings is the act of perceiving the difference in or between objects. In other words, it is the mental process taking place to discriminate one thing from others, a common task performed by a person on a very regular basis. Making such differentiations, small or large, easy or hard, still requires a combination of cognitive processes to occur across various parts of the human brain. In this paper, an EEG-based BCI experiment was organized to study the detection of such cognitive processes. Utilizing a machine learning tool, Artificial Neural Networks, to aid in analyzing the acquired dataset, a high correct classification rate was achieved, confirming that it is possible to computationally detect these differentiation activities from EEG signals.
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References
Dietrich, C.: Decision Making: Factors that Influence Decision Making, Heuristics Used, and Decision Outcomes. Student Pulse 2(2) (2010)
VanRullen, R., Thorpe, S.J.: The Time Course of Visual Processing: from Early Perception to Decision-Making. Journal of Cognitive Neuroscience 13(4), 454–461 (2001)
Macleod, I.S., Hone, G., Smith, S.: Capturing Cognitive Task Activities for Decision Making and Analysis, vol. 44, pp. 0–20 (2005)
Vo, T., Gedeon, T.: Reading Your Mind: EEG during Reading Task. In: Lu, B.-L., Zhang, L., Kwok, J. (eds.) ICONIP 2011, Part I. LNCS, vol. 7062, pp. 396–403. Springer, Heidelberg (2011)
Makeig, S., Debener, S., Onton, J., Delorme, A.: Mining Event-related Brain Dynamics. Trends in Cognitive Sciences 8(5), 204–210 (2004)
Graf, A.B.A., Smola, A.J., Borer, S.: Classification in a Normalized Feature Space Using Support Vector Machines. IEEE Transactions on Neural Networks 14(3), 597–605 (2003)
Hagan, M.T., Menhaj, M.B.: Training Feedforward Networks with the Marquardt Algorithm. IEEE Transactions on Neural Networks 5(6), 989–993 (1994)
Mendis, B.S.U., Gedeon, T.D., Koczy, L.T.: Learning Generalized Weighted Relevance Aggregation Operators Using Levenberg-Marquardt Method. In: Sixth International Conference on Hybrid Intelligent Systems, p. 34 (2006)
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Vo, T., Gedeon, T., Tran, D. (2012). Modeling the Mental Differentiation Task with EEG. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_44
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DOI: https://doi.org/10.1007/978-3-642-34481-7_44
Publisher Name: Springer, Berlin, Heidelberg
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