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Published on: November 19, 2014
Three-dimensional object recognition learning alters an early ERP component of N1
1Department of Information Science and Biomedical Engineering, Graduate School of Science and Engineering, Kagoshima University, 1-21-40 Korimoto, Kagoshima 890-0065, Japan.
Objective:
One can identify an object among similar distractors through learning regardless of the change in viewing angle. This study was designed to investigate the changes in neuronal activity related to object recognition learning.
Methods:
Human subjects were asked to train themselves with novel objects by performing an object recognition task, in which the images of an object had to be discriminated from those of other objects regardless of the viewpoint.
Results:
The ERP component--N1, the first negative peak at posterior electrodes, showed a significant increase in the variation of both the latency and the amplitude across the objects during the learning process, while the variation across viewpoints decreased.
Conclusions:
These results suggest that object recognition learning differentiates between the representations of the objects, at least at the N1 level.
Significance:
The results may support the notion that object recognition differentiates among the functional representations of the trained objects in our brain.
