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Preference for Audiovisual Speech Congruency in Superior Temporal Cortex.

, , , and . J. Cognitive Neuroscience, 28 (1): 1-7 (2016)

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Predicting the Semantic Category of Internally Generated Words from Neuromagnetic Recordings., , , and . J. Cognitive Neuroscience, 27 (1): 35-45 (2015)Deep Impression: Audiovisual Deep Residual Networks for Multimodal Apparent Personality Trait Recognition., , , and . ECCV Workshops (3), volume 9915 of Lecture Notes in Computer Science, page 349-358. (2016)Towards Naturalistic Speech Decoding from Intracranial Brain Data., , , and . EMBC, page 3100-3104. IEEE, (2022)End-to-end neural system identification with neural information flow., , , , , and . PLoS Comput. Biol., (2021)Brains on Beats., , , , and . NIPS, page 2101-2109. (2016)Convolutional Sketch Inversion., , , and . ECCV Workshops (1), volume 9913 of Lecture Notes in Computer Science, page 810-824. Springer, (2016)Wasserstein Variational Inference., , , , , and . NeurIPS, page 2478-2487. (2018)The Dynamic Beamformer., , , , and . MLINI, volume 7263 of Lecture Notes in Computer Science, page 148-155. Springer, (2011)End-to-End Pixel-Based Deep Active Inference for Body Perception and Action., , and . ICDL-EPIROB, page 1-8. IEEE, (2020)Preference for Audiovisual Speech Congruency in Superior Temporal Cortex., , , and . J. Cognitive Neuroscience, 28 (1): 1-7 (2016)