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Poster Session B: Wednesday, August 13, 1:00 – 4:00 pm, de Brug & E‑Hall

Representational dynamics of visual contents underlying object selectivity

Chun-Hui Li¹; ¹Freie Universität Berlin

Presenter: Chun-Hui Li

Attention allows humans to prioritize relevant information in line with behavioral goals, yet the temporal dynamics of its influence on object selectivity remain unclear. In this study, we integrated magnetoencephalography (MEG), functional magnetic resonance imaging (fMRI), and deep neural networks (DNNs) to investigate how goal-directed attention selectively modulates visual object representations. Representational similarity analysis (RSA) revealed enhanced category-specific similarity in brain regions under attention, with top-down modulation from prefrontal cortex to category-specific areas through Granger causality analysis. GLM-based RSA confirmed dynamic object-selective representations in the fusiform face area (FFA) and parahippocampal place area (PPA). Furthermore, MEG-DNN fusion showed attentional effects across hierarchical DNN layers, reflecting a coarse-to-fine processing pattern. These findings offer new insights into the spatiotemporal dynamics of object-based attentional modulation in the human brain.

Topic Area: Object Recognition & Visual Attention

Extended Abstract: Full Text PDF