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How can deep learning advance computational modeling of sensory information processing?, , , and . CoRR, (2018)Effects of Cross-modal Asynchrony on Informational Masking in Human Cortex., , , and . J. Cognitive Neuroscience, 29 (6): 980-990 (2017)Predicting neuronal response properties from hemodynamic responses in the auditory cortex., , , and . NeuroImage, (2021)Laminar fMRI: Applications for cognitive neuroscience., , , and . NeuroImage, (2019)ACES: Evaluating Automated Audio Captioning Models on the Semantics of Sounds., , , and . CoRR, (2024)Of cats and women: Temporal dynamics in the right temporoparietal cortex reflect auditory categorical processing of vocalizations., , , , , and . NeuroImage, 62 (3): 1877-1883 (2012)Cortical processing of pitch: Model-based encoding and decoding of auditory fMRI responses to real-life sounds., , , , , and . NeuroImage, 180 (Part): 291-300 (2018)Optimizing fMRI experimental design for MVPA-based BCI control: Combining the strengths of block and event-related designs., , , and . NeuroImage, (2019)The effect of spatial resolution on decoding accuracy in fMRI multivariate pattern analysis., , , , , and . NeuroImage, (2016)Real-time independent component analysis of fMRI time-series., , , , , , , , and . NeuroImage, 20 (4): 2209-2224 (2003)