Decoding the semantic content of natural movies from human brain activity (Huth et al., Frontiers in Systems Neuroscience, 2016)
This paper presents a decoding algorithm, hierarchical logistic regression, that recovers detailed information about the object and action categories present in natural movies from fMRI responses with high accuracy. The framework can also be used to test whether semantic relationships defined in the WordNet taxonomy are represented the same way in the human brain.