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Imagining Sounds and Images: Decoding the Contribution of Unimodal and Transmodal Brain Regions to Semantic Retrieval in the Absence of Meaningful Input
2018
Journal of Cognitive Neuroscience
In the absence of sensory information, we can generate meaningful images and sounds from representations in memory. However, it remains unclear which neural systems underpin this process, and whether different types of imagery recruit similar or different neural networks. We asked people to imagine the visual and auditory features of objects, either in isolation (car, dog) or in specific meaning-based contexts (car/dog race). Using an fMRI decoding approach, in conjunction with functional
doi:10.1162/jocn_a_01330
pmid:30156502
fatcat:ydzinw2tjvferdomwhol5ryqli