Decoding new visual shapes in the visual system using fMRI

Diplôme Master Decoding new visual shapes in the visual system using fMRI eng 2019 author Luo Hongyu 853005 director Bavelier Daphné 737548 Visual object perception is important for human's daily life. Functional brain regions on visual cortex for the familiar categories are already commonly proved by many studies. However, how do the visual cortex process the unfamiliar artificial shapes? While, there are some studies that already explored the neural representation of physical and perceptual attributes of artificial shapes; in this study, we are asking the question from another aspect: are there any representational patterns that could be used for us to discriminate both familiar categories and the artificial shapes? To answer this question, we conducted the same experiment both for artificial symbols and familiar categories using functional magnetic resonance imaging, fMRI. Then we applied machine learning models on the neural representation on visual cortex. In order to reduce the dimensionality of the features, we wrapped the features selection into the decoding model training process. Using this technique, we could manage to decode both artificial symbols and familiar categories with much less features. This feature selection technique could bring the benefits for both sides: it could improve the classification accuracy and shed a light on improving the algorithm, at the same time it gives us the selected voxels, which might contain important information related to neural representation for artificial symbols and familiar categories. Dewey 150 Dewey 616.8 Maîtrise universitaire en neurosciences 16 Centre interfacultaire de neurosciences 0D9 108 Section de psychologie 71 false 1373 Brain & Learning Lab 6028f330-acab-4cb7-b4dc-047a3ac199e2 Master thesis Private master_thesis_Luo.pdf 6426609 application/pdf closedAccess Centres et instituts / Centre interfacultaire de neurosciences Faculté de psychologie et des sciences de l'éducation / Section de psychologie

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Luo, Hongyu