Investigating Rich Feature Sources for Conceptual Representation Encoding
@inproceedings{Cao2020InvestigatingRF, title={Investigating Rich Feature Sources for Conceptual Representation Encoding}, author={Lu Cao and Yulong Chen and Dandan Huang and Yue Zhang}, booktitle={COGALEX}, year={2020} }
Functional Magnetic Resonance Imaging (fMRI) provides a means to investigate human conceptual representation in cognitive and neuroscience studies, where researchers predict the fMRI activations with elicited stimuli inputs. Previous work mainly uses a single source of features, particularly linguistic features, to predict fMRI activations. However, relatively little work has been done on investigating rich-source features for conceptual representation. In this paper, we systematically compare…
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