Neural responses to visual scenes reveals inconsistencies between fMRI adaptation and multivoxel pattern analysis

摘要: Human observers can recognize real-world visual scenes with great efficiency. Cortical regions such as the parahippocampal place area (PPA) and retrosplenial complex (RSC) have been implicated in scene recognition, but specific representations supported by these are largely unknown. We used functional magnetic resonance imaging adaptation (fMRIa) multi-voxel pattern analysis (MVPA) to explore this issue, focusing on whether PPA RSC represent terms of general categories, or scenic exemplars. Subjects were scanned while viewing images drawn from 10 outdoor categories two scan runs familiar landmarks their home college campus runs. Analyses patterns revealed that encoded both category landmark information, a slight advantage for coding RSC. fMRIa, other hand, very different picture: adapted when information was repeated, only observed small subregion left PPA. These inconsistencies between MVPA fMRIa data suggests techniques interrogate aspects neuronal code. propose three hypotheses about mechanisms might underlie signals.