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Using fMRI decoding and a bottom-up data-driven approach, we showed that although robust object category representations exist in both OTC and PPC, there is an information-driven 2-pathway separation among these regions in the representational space, with occipitotemporal regions arranging hierarchically along 1 pathway and posterior parietal regions along another pathway. We obtained 10 independent replications of this 2-pathway distinction, accounting for 58\u201381% of the total variance of the region-wise differences in visual representation. The separation of the PPC regions from higher occipitotemporal regions was not driven by a difference in tolerance to changes in low-level visual features, did not rely on the presence of special object categories, and was present whether or not object category was task relevant. Our information-driven 2-pathway structure differs from the well-known ventral-what and dorsal-where\/how characterization of posterior brain regions. Here both pathways contain rich nonspatial visual representations. The separation we see likely reflects a difference in neural coding scheme used by PPC to represent visual information compared with that of OTC.<\/jats:p>","DOI":"10.1093\/cercor\/bhy080","type":"journal-article","created":{"date-parts":[[2018,3,21]],"date-time":"2018-03-21T20:11:39Z","timestamp":1521663099000},"page":"2034-2050","source":"Crossref","is-referenced-by-count":50,"title":["An Information-Driven 2-Pathway Characterization of Occipitotemporal and Posterior Parietal Visual Object Representations"],"prefix":"10.1093","volume":"29","author":[{"given":"Maryam","family":"Vaziri-Pashkam","sequence":"first","affiliation":[{"name":"Vision Sciences Laboratory, Department of Psychology, Harvard University, Cambridge, MA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yaoda","family":"Xu","sequence":"first","affiliation":[{"name":"Vision Sciences Laboratory, Department of Psychology, Harvard University, Cambridge, MA, 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