Leah Bakst, PhD
Research Scientist
Boston University College of Arts and Sciences
Psychological and Brain Sciences




Leah is a postdoctoral fellow at Boston University, where she is trying to understand how we represent the precision of our predictions in the brain. She is especially curious about what we can learn about these predictions from eye movements. She is a graduate of the neuroscience doctoral program at the University of Washington where she focused on the visual system, disentangling the multiple functions of the Frontal Eye Field in smooth pursuit behavior. She received her BA in both neuroscience and music from Oberlin College.

She is especially motivated by the possible applications of neuroscience and the scientific method to make STEM education, public policy, and science communication more effective and equitable.


Eye Movements and the Dynamics of Adaptive Learning
07/01/2019 - 06/30/2022 (PI)
NIH/National Eye Institute
5F32EY029134-03



Title


Yr Title Project-Sub Proj Pubs

Publications listed below are automatically derived from MEDLINE/PubMed and other sources, which might result in incorrect or missing publications. Faculty can login to make corrections and additions.

iCite Analysis       Copy PMIDs To Clipboard

  1. Bakst L, McGuire JT. Experience-driven recalibration of learning from surprising events. Cognition. 2023; 232C. View Publication
  2. Bakst L, McGuire JT. Experience-driven recalibration of learning from surprising events. Cognition. 2023 Mar; 232:105343. PMID: 36481590; PMCID: PMC9851993; DOI: 10.1016/j.cognition.2022.105343;
     
  3. Bakst L, McGuire JT. Eye movements reflect adaptive predictions and predictive precision. J Exp Psychol Gen. 2021 May; 150(5):915-929. PMID: 33048566; PMCID: PMC8039063; DOI: 10.1037/xge0000977;
     
  4. Botvinik-Nezer R, Holzmeister F, Camerer CF, Dreber A, Huber J, Johannesson M, Kirchler M, Iwanir R, Mumford JA, Adcock RA, Avesani P, Baczkowski BM, Bajracharya A, Bakst L, Ball S, Barilari M, Bault N, Beaton D, Beitner J, Benoit RG, Berkers RMWJ, Bhanji JP, Biswal BB, Bobadilla-Suarez S, Bortolini T, Bottenhorn KL, Bowring A, Braem S, Brooks HR, Brudner EG, Calderon CB, Camilleri JA, Castrellon JJ, Cecchetti L, Cieslik EC, Cole ZJ, Collignon O, Cox RW, Cunningham WA, Czoschke S, Dadi K, Davis CP, Luca A, Delgado MR, Demetriou L, Dennison JB, Di X, Dickie EW, Dobryakova E, Donnat CL, Dukart J, Duncan NW, Durnez J, Eed A, Eickhoff SB, Erhart A, Fontanesi L, Fricke GM, Fu S, Galván A, Gau R, Genon S, Glatard T, Glerean E, Goeman JJ, Golowin SAE, González-García C, Gorgolewski KJ, Grady CL, Green MA, Guassi Moreira JF, Guest O, Hakimi S, Hamilton JP, Hancock R, Handjaras G, Harry BB, Hawco C, Herholz P, Herman G, Heunis S, Hoffstaedter F, Hogeveen J, Holmes S, Hu CP, Huettel SA, Hughes ME, Iacovella V, Iordan AD, Isager PM, Isik AI, Jahn A, Johnson MR, Johnstone T, Joseph MJE, Juliano AC, Kable JW, Kassinopoulos M, Koba C, Kong XZ, Koscik TR, Kucukboyaci NE, Kuhl BA, Kupek S, Laird AR, Lamm C, Langner R, Lauharatanahirun N, Lee H, Lee S, Leemans A, Leo A, Lesage E, Li F, Li MYC, Lim PC, Lintz EN, Liphardt SW, Losecaat Vermeer AB, Love BC, Mack ML, Malpica N, Marins T, Maumet C, McDonald K, McGuire JT, Melero H, Méndez Leal AS, Meyer B, Meyer KN, Mihai G, Mitsis GD, Moll J, Nielson DM, Nilsonne G, Notter MP, Olivetti E, Onicas AI, Papale P, Patil KR, Peelle JE, Pérez A, Pischedda D, Poline JB, Prystauka Y, Ray S, Reuter-Lorenz PA, Reynolds RC, Ricciardi E, Rieck JR, Rodriguez-Thompson AM, Romyn A, Salo T, Samanez-Larkin GR, Sanz-Morales E, Schlichting ML, Schultz DH, Shen Q, Sheridan MA, Silvers JA, Skagerlund K, Smith A, Smith DV, Sokol-Hessner P, Steinkamp SR, Tashjian SM, Thirion B, Thorp JN, Tinghög G, Tisdall L, Tompson SH, Toro-Serey C, Torre Tresols JJ, Tozzi L, Truong V, Turella L, van 't Veer AE, Verguts T, Vettel JM, Vijayarajah S, Vo K, Wall MB, Weeda WD, Weis S, White DJ, Wisniewski D, Xifra-Porxas A, Yearling EA, Yoon S, Yuan R, Yuen KSL, Zhang L, Zhang X, Zosky JE, Nichols TE, Poldrack RA, Schonberg T. Variability in the analysis of a single neuroimaging dataset by many teams. Nature. 2020 06; 582(7810):84-88. PMID: 32483374; PMCID: PMC7771346; DOI: 10.1038/s41586-020-2314-9;
     
  5. Bakst L, Fleuriet J, Mustari MJ. FEFsem neuronal response during combined volitional and reflexive pursuit. J Vis. 2017 05 01; 17(5):13. PMID: 28538993
     
  6. Bakst L, Fleuriet J, Mustari MJ. Temporal dynamics of retinal and extraretinal signals in the FEFsem during smooth pursuit eye movements. J Neurophysiol. 2017 05 01; 117(5):1987-2003. PMID: 28202571
     
  7. Holmes AJ, Lee PH, Hollinshead MO, Bakst L, Roffman JL, Smoller JW, Buckner RL. Individual differences in amygdala-medial prefrontal anatomy link negative affect, impaired social functioning, and polygenic depression risk. J Neurosci. 2012 Dec 12; 32(50):18087-100. PMID: 23238724
     

This graph shows the total number of publications by year, by first, middle/unknown, or last author.

Bar chart showing 7 publications over 5 distinct years, with a maximum of 2 publications in 2017 and 2020

YearPublications
20121
20172
20202
20221
20231


2022 Harvard University: George W. Goethals Award for excellence in teaching
2020 Harvard University: George W. Goethals Award for excellence in teaching
2019-2022 NIH/NEI: National Research Service Award
2018-2019 NSF SBE: Postdoctoral Research Fellowship
2017-2018 Center for Systems Neuroscience, Boston University: Distinguished Fellow
2015 Pacific Science Center, Seattle, WA: Science Communication Fellow
2014-2016 University of Washington: NIH T-32 Vision Training Grant
2014 Cold Spring Harbor: Computational Neuroscience: Vision course attendee
Contact for Mentoring:

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