Author

Lukas Slipski

Dartmouth CollegeORCID 0000-0002-3196-8378Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Signature Assays, Organisms & Methods

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Research Focus:batch correction / integration· 1 Research Focus:dimensionality reduction· 1 Assay:electronic health records· 1 Organism:human· 1 Approach:statistical model· 1

Frequent Co-Authors

Erica L. BuschiD· 1 shared J. Swaroop GuntupalliiD· 1 shared James V. HaxbyiD· 1 shared Jeremy F. HuckinsiD· 1 shared M. Ida GobbiniiD· 1 shared Ma FeilongiD· 1 shared Matteo Visconti di Oleggio CastelloiD· 1 shared Samuel A. NastaseiD· 1 shared

Activity by Year

2021-2021 · peak 1/yr

Co-Author Collaboration Network

9 top collaborators · 36 mutual co-author links

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1 shared paperNeuroscience

Erica L. BuschORCID

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1 paper

Recent·Most cited

Hybrid Hyperalignment: A single high-dimensional model of shared information embedded in cortical patterns of response and functional connectivity

Erica L. Busch, Lukas Slipski, Ma Feilong, J. Swaroop Guntupalli, Matteo Visconti di Oleggio Castello, Jeremy F. Huckins, Samuel A. Nastase, M. Ida Gobbini, Tor Dessart Wager, James V. Haxby

This paper introduces hybrid hyperalignment, a method that aligns both neural response and functional connectivity data across brains using a single model, showing improved alignment for both types of data compared to previous methods.

NeuroImage · Mar 21, 2021Peer-reviewedNeuroscience