The Gallant lab have a new paper out in Neuron using fMRI to study the brain’s representation of visual scene categories. It’s a slick little paper, using some fun machine learning algorithms (Latent Dirichlet allocation) that shows that there’s a substantial amount of latent semantic information available at the fMRI macroscale – raising the question … More Category information in the brain
CSHL computational neuroscience: vision is over, and we presented projects using some of the new methods and ideas we explored in class. Earlier in the class, Geoff Boynton did a presentation on psychophysics, and illustrated how to estimate a threshold through Maximum Likelihood in a N-AFC task, where N >= 2. I was curious to … More CSHL projects: variance estimation and N-AFC psychophysics
There’s a neat paper on the psychophysics of scene and object recognition in super-low resolution scenarios in Visual Neuroscience by A. Torralba (2009). The author sought to answer a rather interesting question: what image resolution is needed to support scene and object recognition? He took images from databases and created several different versions of them, … More How many pixels make an object? Like, 30
