GitHub - IamPolina/visual-and-auditory-object-recognition: Humans can effortlessly categorize objects, both when they are conveyed through visual images and spoken words. To resolve the neural correlates of object categorization, studies have so far primarily focused on the visual modality. It is therefore still unclear how the brain extracts categorical information from auditory signals. In the current study we used EEG (N=47) and time-resolved multivariate pattern analysis to investigate (1) the time course with which object category information emerges in the auditory modality and (2) how the representational transition from individual object identification to category representation compares between the auditory modality and the visual modality. Our results show that (1) that auditory object category representations can be reliably extracted from EEG signals and (2) a similar representational transition occurs in the visual and auditory modalities, where an initial representation at the individual-object level is followed by a subsequent representation of the objects‘ category membership. Altogether, our results suggest an analogous hierarchy of information processing across sensory channels. However, we did not find evidence for a shared supra-modal code, suggesting that the contents of the different sensory hierarchies are ultimately modality-unique.

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Humans can effortlessly categorize objects, both when they are conveyed through visual images and spoken words. To resolve the neural correlates of object categorization, studies have so far primarily focused on the visual modality. It is therefore still unclear how the brain extracts categorical information from auditory signals. In the current…

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Name		Name	Last commit message	Last commit date
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cl_cat.m		cl_cat.m
cl_cat_cross.m		cl_cat_cross.m
cl_obj.m		cl_obj.m
cl_obj_cross.m		cl_obj_cross.m
plot_cat_cross_timeseries.m		plot_cat_cross_timeseries.m
plot_cat_timeseries.m		plot_cat_timeseries.m
plot_obj_timeseries.m		plot_obj_timeseries.m