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.
Our post-doc Mark Lescroart has moved to the University of Nevada to become a Professor of Psychology. Congratulations Mark! You can keep up on all the great work Mark is doing in his new lab here. Mark is looking for … Continued
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
Our post-doc (and former graduate student) Alex Huth has moved to the University of Texas at Austin to become a Professor of Computer Science and Psychology! Congratulations Alex! You can keep up on all the great work Alex is doing … 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
To understand any study of the human cerebral cortex, it is critical to have a good sense of human cortical neuroanatomy. The classical way to learn neuroanantomy is to memorize the patterns and names of sulci and gyri shown in … Continued
Our wonderful Natalia Bilenko has turned in her Ph.D. Thesis, “Modeling of natural stimulus representation in the human brain using canonical correlation analysis.” One chapter of her Thesis has already been published and you can find it here. The second chapter … Continued