Research output: Contribution to journal › Article › peer-review
The time course of pattern discrimination in the human brain. / Harauzov, A. K.; Shelepin, Y. E.; Noskov, Y. A.; Vasilev, P. P.; Foreman, N. P.
In: Vision Research, Vol. 125, 01.08.2016, p. 55-63.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - The time course of pattern discrimination in the human brain
AU - Harauzov, A. K.
AU - Shelepin, Y. E.
AU - Noskov, Y. A.
AU - Vasilev, P. P.
AU - Foreman, N. P.
N1 - Funding Information: This work was supported by grant from Russian Scientific Foundation No 14-15-00918. Publisher Copyright: © 2016 Elsevier Ltd. Copyright: Copyright 2017 Elsevier B.V., All rights reserved.
PY - 2016/8/1
Y1 - 2016/8/1
N2 - In electrophysiological experiments on visual pattern discrimination, decision difficulty was manipulated either via the physical characteristics of the test stimuli, or by changing the instruction given to the observer. Visual stimuli were rectangular matrices each composed of 100 Gabor patches having different orientations. Matrices differed in the number of Gabor patches with vertical, or horizontal, orientation. The observers' task was either to discriminate the dominant orientation or to detect collinear elements in the matrix. Relating task difficulty to performance, in the first experimental paradigm (detection of orientation) we obtained the conventional S-like psychometric function but in the second (detection of collinearity) the psychometric function showed a complicated U-curve. Matching between electrophysiological and psychophysical data and image statistical functions allowed us to establish the relative timing of the cortical processes underlying perception and decision making in relation to textural features. In the first 170 ms after stimulus onset coding of the low-level properties of the image takes place. In the time interval 170-400 ms, ERP amplitude correlated only with complex image properties, but not with task difficulty. The first effects arising from decision difficulty were observable at 400 ms after stimulus onset, and therefore this is probably the earliest electrophysiological signature of the decision making processes, in the given experimental paradigm.
AB - In electrophysiological experiments on visual pattern discrimination, decision difficulty was manipulated either via the physical characteristics of the test stimuli, or by changing the instruction given to the observer. Visual stimuli were rectangular matrices each composed of 100 Gabor patches having different orientations. Matrices differed in the number of Gabor patches with vertical, or horizontal, orientation. The observers' task was either to discriminate the dominant orientation or to detect collinear elements in the matrix. Relating task difficulty to performance, in the first experimental paradigm (detection of orientation) we obtained the conventional S-like psychometric function but in the second (detection of collinearity) the psychometric function showed a complicated U-curve. Matching between electrophysiological and psychophysical data and image statistical functions allowed us to establish the relative timing of the cortical processes underlying perception and decision making in relation to textural features. In the first 170 ms after stimulus onset coding of the low-level properties of the image takes place. In the time interval 170-400 ms, ERP amplitude correlated only with complex image properties, but not with task difficulty. The first effects arising from decision difficulty were observable at 400 ms after stimulus onset, and therefore this is probably the earliest electrophysiological signature of the decision making processes, in the given experimental paradigm.
KW - Decision difficulty
KW - ERP
KW - Gabor gratings
KW - Instructions
KW - Orientation discrimination
UR - http://www.scopus.com/inward/record.url?scp=84973644272&partnerID=8YFLogxK
U2 - 10.1016/j.visres.2016.05.005
DO - 10.1016/j.visres.2016.05.005
M3 - Article
C2 - 27291935
AN - SCOPUS:84973644272
VL - 125
SP - 55
EP - 63
JO - Vision Research
JF - Vision Research
SN - 0042-6989
ER -
ID: 38359017