Author

Lorenzo Mazzaschi

University of OxfordORCID 0000-0002-7210-9772Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

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Approach:deep learning· 1 Approach:statistical model· 1

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Andrew J. KingiD· 1 shared Ben D. B. WillmoreiD· 1 shared Nicol Spencer HarperiD· 1 shared

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2025-2025 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Andrew J. KingORCID

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1 paper

Recent·Most cited

Corticofugal gated recurrency captures auditory cortical responses

Lorenzo Mazzaschi, Andrew J. King, Ben D. B. Willmore, Nicol Spencer Harper

This paper introduces a computational model of auditory cortical responses using gated recurrency, showing improved prediction over existing methods and revealing memory differences between primary and secondary auditory cortex.

bioRxiv · Dec 11, 2025 · PreprintNeuroscience