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→Nishimoto
=Nishimoto=
This model was then used to look up the 100 one-second video segments, in a database of 18 million seconds of random YouTube videos, whose visual patterns most closely matched the brain activity recorded when subjects watched a new video. ==Nishimoto et. al 2011=={{#ev:youtube|nsjDnYxJ0bo}}[[File:Nishimoto.etal.2011.Reconstruction.5panels.png|400px]]*''Reconstructing visual experiences from brain activity evoked by natural movies''. Shinji Nishimoto, An T. Vu, Thomas Naselaris, Yuval Benjamini, Bin Yu & Jack L. Gallant. Current Biology, published online September 22, 2011.**"Record brain activity while the subject watches several hours of movie trailers"**http://www.youtube.com/watch?v=nsjDnYxJ0bo**http://www.youtube.com/watch?v=KMA23JJ1M1o**The computational encoding models in our study provide a functional account of brain activity evoked by natural movies. It is currently unknown whether processes like dreaming and imagination are realized in the brain in a way that is functionally similar to perception.**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*reconstruction from cat brain
=Breaking Out=