Decoding fMRI data for color qualia by using a Multi-Layer Perceptron

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2022-07-07

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en

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Participants were scanned with an fMRI while perceiving lettercolor combinations. These participants implicitly learned letter-color associations by reading books with colored letters. Afterward, they were scanned again under the same conditions as before. This study tries to determine if a Multi-Layer Perceptron can predict whether a person is looking at a colored or black letter before and after association learning. Suppose color qualia, the conscious experiences of color, are processed in the same brain regions as when visually perceiving colors. In that case, the model is expected to become less accurate when applied to post-training data. It will look at if association learning causes this model to predict black events more often as color events. This is not the case, meaning there is no indication that color qualia might be processed in the same regions in the occipital lobe as visual color processing. It cannot be said if there is any significant positive correlation between the Projector-Associator scores of the subjects (which gives an indication of how strong their associated color has become) and how often their black events are predicted as color events post-training.

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Faculteit der Sociale Wetenschappen