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Updated: Jan 12, 2026

Cross-Modal Multivariate Pattern Analysis
Published on: November 9, 2011
Brief Encounters with Real Objects Modulate the Medial Parietal But Not Occipitotemporal Cortex
Susan G Wardle1, Beth Rispoli2,3, Vinai Roopchansingh4
1Section on Learning and Plasticity, Laboratory of Brain and Cognition, National Institute of Mental Health, NIH, Bethesda, Maryland 20814 susan.wardle@nih.gov.
Abstract:
Humans are skilled at recognizing everyday objects from pictures, even if we have never encountered the depicted object in real life. However, if we have encountered an object, how does that real-world experience affect the representation of its photographic image in the human brain? We developed a paradigm that involved brief real-world manual exploration of everyday objects prior to the measurement of brain activity with fMRI while viewing pictures of those objects (40 participants, 28 females). We found that while object-responsive regions in the lateral occipital and ventral temporal cortex contained robust visual representations of specific objects, those representations were not modulated by brief real-world exploration. However, there was an effect of visual experience in object-responsive regions in the form of repetition suppression of the BOLD response over repeated presentations of the object images. Real-world experience with an object produced foci of increased activation in the medial parietal and posterior cingulate cortex, regions that have previously been associated with the encoding and retrieval of remembered items in explicit memory paradigms. Our discovery that these regions are engaged during spontaneous recognition of real-world objects from their 2D image demonstrates that modulation of activity in medial regions by familiarity is neither stimulus nor task-specific. Overall, our results support separable coding in the human brain of the visual appearance of an object from the associations gained via real-world experience. The richness of object representations beyond their photographic image has important implications for understanding object recognition in the human brain and in computational models.
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