Decoding the Semantic Content of Natural Movies from Human Brain Activity

@article{Huth2016DecodingTS,
  title={Decoding the Semantic Content of Natural Movies from Human Brain Activity},
  author={Alexander G. Huth and Tyler Lee and S. Nishimoto and N. Bilenko and A. Vu and J. Gallant},
  journal={Frontiers in Systems Neuroscience},
  year={2016},
  volume={10}
}
One crucial test for any quantitative model of the brain is to show that the model can be used to accurately decode information from evoked brain activity. [...] Key Method Decoding is accomplished using a hierarchical logistic regression (HLR) model that is based on labels that were manually assigned from the WordNet semantic taxonomy. This model makes it possible to simultaneously decode information about both specific and general categories, while respecting the relationships between them. Our results show…Expand
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