Author

Mashbayar Tugsbayar

Mila - Quebec Artificial Intelligence InstituteORCID 0009-0007-9213-9366Unclaimed ORCID profile · follow to get notified of new preprints

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Neuroscience· 1

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Research Focus:benchmarking· 1 Approach:deep learning· 1 Research Focus:dimensionality reduction· 1 Research Focus:software / tool· 1 Approach:statistical model· 1

Frequent Co-Authors

Blake A. RichardsiD· 1 shared Eilif Benjamin MulleriD· 1 shared Mingze Li· 1 shared

Activity by Year

2024-2024 · peak 1/yr

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3 top collaborators · 3 mutual co-author links

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1 shared paperNeuroscience

Blake A. RichardsORCID

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1 paper

Recent·Most cited

NeurosciencebioRxivPreprintOct 1, 2024

Top-down feedback matters: Functional impact of brainlike connectivity motifs on audiovisual integration

Mashbayar Tugsbayar, Mingze Li, Eilif Benjamin Muller, Blake A. Richards

This study shows that incorporating top-down feedback in neural networks mimics human brain architecture and introduces a visual bias in audiovisual tasks without impairing performance.

1 citation

deep learningstatistical model