Author

Leah Bakst

Boston UniversityORCID 0000-0003-2741-5532Unclaimed 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:benchmarking· 2 Organism:human· 2 Assay:imaging· 2 Approach:statistical model· 2 Approach:Bayesian inference· 1

Frequent Co-Authors

Aahana BajracharyaiD· 1 shared Adriana GalvániD· 1 shared Alberto De LucaiD· 1 shared Alexander BowringiD· 1 shared Alexandru D. IordaniD· 1 shared Amr EediD· 1 shared Andrew ErhartiD· 1 shared Andrew JahniD· 1 shared

Activity by Year

2020-2026 · peak 1/yr

Co-Author Collaboration Network

10 top collaborators · 45 mutual co-author links

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1 shared paperNeuroscience

Aahana BajracharyaORCID

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3 papers

Recent·Most cited

NeurosciencebioRxivPreprintJan 10, 2026

A normative account of human temporal structure learning

Niloufar Razmi, Xufeng Caesar Dai, Leah Bakst, Matthew R. Nassar

This study develops a Bayesian model of temporal structure learning and shows it aligns with human behavior in predicting outcomes across different temporal environments.

DOI 10.64898/2026.01.10.698785

humanBayesian inference

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NeuroscienceeLifePeer-reviewedSep 11, 2025

Dynamic estimation of the attentional field from visual cortical activity

Ilona M. Bloem, Leah Bakst, Joseph T. McGuire, Sam Ling

This study uses fMRI to estimate the dynamic locus and spread of covert spatial attention by analyzing visuocortical activity in response to varying cue sizes.

DOI 10.7554/elife.104222.3

humanimaging

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NeuroscienceNaturePeer-reviewedMay 20, 2020

Variability in the analysis of a single neuroimaging dataset by many teams

Rotem Botvinik‐Nezer, Felix Holzmeister, Colin F. Camerer…·Xiangzhen Kong

The paper shows that different analysis workflows by 70 teams on the same fMRI dataset led to varied results, but meta-analysis found consensus in activated regions.

1,112 citationstop 1%

imagingstatistical model

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