M. Esposito
Key publicaties
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Giordano, B. L., Esposito, M., Valente, G., & Formisano, E. (2023). Intermediate acoustic-to-semantic representations link behavioral and neural responses to natural sounds. Nature Neuroscience, 26(4), 664-672. https://doi.org/10.1038/s41593-023-01285-9Meer informatie over deze publicatie
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Esposito, M., Valente, G., Plasencia-Calaña, Y., Dumontier, M., Giordano, B. L., & Formisano, E. (2024). Bridging auditory perception and natural language processing with semantically informed deep neural networks. Scientific Reports, 14(1), Article 20994. https://doi.org/10.1038/s41598-024-71693-9Meer informatie over deze publicatie
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Esposito, M., Valente, G., Plasencia-Calaña, Y., Dumontier, M., Giordano, B. L., & Formisano, E. (2023). Semantically-Informed Deep Neural Networks For Sound Recognition. In ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing, Proceedings IEEE. https://doi.org/10.1109/ICASSP49357.2023.10095606Meer informatie over deze publicatie
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Giordano, B. L., Esposito, M., Valente, G., & Formisano, E. (2023). Comparing acoustic, semantic, and deep neural network models of natural sound representation in perceived dissimilarity and cerebral fMRI responses. Journal of the Acoustical Society of America, 153(Supplement 3), Article A363. https://doi.org/10.1121/10.0019173Meer informatie over deze publicatie
Recente publicaties
Overige publicaties
Esposito M., Giordano B.L., Valente G., Formisano E. Evaluating the impact of multiscale temporal processing on sound-to-event recurrent neural networks. CCN 2024, Boston, MA. https://hal.science/hal-04732884/
Wijngaard, G., Formisano, E., Esposito, M., & Dumontier, M. (2025). Audio-Language Datasets of Scenes and Events: A Survey. IEEE Access. https://ieeexplore.ieee.org/abstract/document/10854210/
Maria Araújo, Marie Plegat, Giorgio Marinato, Michele Esposito, Christian Herff, et al.. Optimal stimulus selection for dissociating acoustic and semantic processing of natural sounds. 2024 Conference on Cognitive Computational Neuroscience, 2024, Boston (MA), United States. ⟨hal-04732871⟩