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*http://webvision.umh.es/webvision/imageswv/capas-cortex.jpg
*http://senseofvision.wikispaces.com/file/view/Brain.top.jpg/133207579/358x432/Brain.top.jpg
==*Watson vs. ??==
**http://web.mit.edu/shkolnik/www/meart/
==Papers==
*[[File:Nishimoto.etal.2011.Reconstruction.5panels.png|400px]]
*Gallant Lab
**"Record brain activity while the subject watches several hours of movie trailers"
**Predictive models are the gold standard of computational neuroscience and are critical for the long-term advancement of brain science and medicine. To build a computational model of some part of the visual system, we treat it as a "black box" that takes visual stimuli as input and generates brain activity as output. A model of the black box can be estimated using statistical tools drawn from classical and Bayesian statistics, and from machine learning.
**https://sites.google.com/site/gallantlabucb/publications/nishimoto-et-al-2011
*Tom Mitchell et al. Predicting Human Brain Activity Associated with the Meanings of Nouns. 2008.
**60-word feature vectors.