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. 1997 Dec 23;94(26):14965-9.
doi: 10.1073/pnas.94.26.14965.

Brain wave recognition of words

Affiliations

Brain wave recognition of words

P Suppes et al. Proc Natl Acad Sci U S A. .

Abstract

Electrical and magnetic brain waves of seven subjects under three experimental conditions were recorded for the purpose of recognizing which one of seven words was processed. The analysis consisted of averaging over trials to create prototypes and test samples, to both of which Fourier transforms were applied, followed by filtering and an inverse transformation to the time domain. The filters used were optimal predictive filters, selected for each subject and condition. Recognition rates, based on a least-squares criterion, varied widely, but all but one of 24 were significantly different from chance. The two best were above 90%. These results show that brain waves carry substantial information about the word being processed under experimental conditions of conscious awareness.

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Figures

Figure 1
Figure 1
Shaded contour maps of recognition-rate surfaces. The x-coordinate is the low frequency in Hz of a filter and the y-coordinate is the width in Hz of the filter. The number plotted at a point on the map is the number of test samples of words correctly recognized out of a total of 35 such samples by the Butterworth filter with the coordinates of the point.

References

    1. Posner M I, Petersen S E, Fox P T, Raichle M E. Science. 1988;240:1627–1631. - PubMed
    1. Engel S A, Rumelhart D E, Wandell B A, Lee A T, Glover G H, Chichilnisky E-J, Shadlen M N. Nature (London) 1994;369:525. - PubMed
    1. Williamson S J, Lu Z-L, Karron D, Kaufman L. Brain Topography. 1992;4:169–180. - PubMed
    1. Hämäläiinen M, Hari R, Ilmoniemi R J, Knuutila J, Lounasmaa O V. Rev Mod Phys. 1995;65:413–497.
    1. Gevins A S, Remond A, editors. Methods of Analysis of Brain Electrical and Magnetic Signals. New York: Elsevier; 1987.

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