Transitional Probabilities Modulate the Neural Dynamics During Learning of Visual Shape Sequences
Research output: Conference Papers › Poster › peer-review
Author(s)
Related Research Unit(s)
Detail(s)
Original language | English |
---|---|
Publication status | Published - 5 Jun 2024 |
Conference
Title | International Conference on Interdisciplinary Advances in Statistical Learning 2024 |
---|---|
Location | |
Place | Spain |
City | San Sebastian |
Period | 5 - 7 June 2024 |
Link(s)
Permanent Link | https://scholars.cityu.edu.hk/en/publications/publication(bbb6212e-b5e0-4856-a29c-f91260fd1f23).html |
---|
Abstract
Previous studies have determined that the N400 component indexes the online segmentation and the degree of visual statistical learning (SL). In the current study, we investigate the possibility that the N400 may not only index online segmentation but also be sensitive to the detailed statistical structures of visual SL. During the event-related potentials (ERPs) recording, 30 young adults were exposed to a continuous stream of nonsense shapes and performed a judgement task with triplets that contained different transitional probabilities (TPs). Grand-average ERPs showed that: (1) In the familiarisation period, final shapes with high TPs elicited a larger N400 (300 – 450 ms after onset time) than those with low TPs. (2) Additionally, the scalp distribution within the middle and final shaps shifted from anterior to posterior regions. (3) In the test period, the N400 effect (260 – 500 ms after onset time) was found at frontal and frontal-central sites, the final shape of foil triplets elicited larger negative activity than targets when responded correctly. The results reveal the N400 effect indicates the sensitivity to the statistical structures of visual SL. The statistical information of items can influence the learning of visual sequences, which individuals can then apply to perform judgments.
Bibliographic Note
Research Unit(s) information for this publication is provided by the author(s) concerned.
Citation Format(s)
Transitional Probabilities Modulate the Neural Dynamics During Learning of Visual Shape Sequences. / Mak, Hoi Yan; Lin, Qiduo; Tzeng, Ovid J. L. et al.
2024. Poster session presented at International Conference on Interdisciplinary Advances in Statistical Learning 2024, San Sebastian, Spain.
2024. Poster session presented at International Conference on Interdisciplinary Advances in Statistical Learning 2024, San Sebastian, Spain.
Research output: Conference Papers › Poster › peer-review