Mark Lescroart’s paper, “Human scene-selective areas represent 3D configurations of surfaces,” has just been published in Neuron. This paper shows that scene-selective areas represent the distance to and orientation of large surfaces, at least partly independent of low-level features.
Current brain decoding technology is extremely primitive and it produces poor results. However, as new neurotechnologies are developed in the future, the quality of brain decoding will improve. Eventually it may be possible to create portable, non-invasive brain decoding devices … Continued
Speech comprehension requires that the brain extract semantic meaning from the spectral features represented at the cochlea. To investigate this process, we recorded fMRI signals during natural narrative speech comprehension. We then used voxel-wise modeling and variance partioning to examine … Continued
Several recent neuroimaging studies have decoded the structure or semantic content of static visual images from human brain activity. This paper presents a decoding algorithm, hierarchical logistic regression (HLR), that makes it possible to decode detailed information about the object … Continued