Harvard Catalyst Profiles

Contact, publication, and social network information about Harvard faculty and fellows.

Timothy Sainburg, Ph.D.


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.
Newest   |   Oldest   |   Most Cited   |   Most Discussed   |   Timeline   |   Field Summary   |   Plain Text
PMC Citations indicate the number of times the publication was cited by articles in PubMed Central, and the Altmetric score represents citations in news articles and social media. (Note that publications are often cited in additional ways that are not shown here.) Fields are based on how the National Library of Medicine (NLM) classifies the publication's journal and might not represent the specific topic of the publication. Translation tags are based on the publication type and the MeSH terms NLM assigns to the publication. Some publications (especially newer ones and publications not in PubMed) might not yet be assigned Field or Translation tags.) Click a Field or Translation tag to filter the publications.
  1. Xing J, Sainburg T, Taylor H, Gentner TQ. Syntactic modulation of rhythm in Australian pied butcherbird song. R Soc Open Sci. 2022 Sep; 9(9):220704. PMID: 36177196; PMCID: PMC9515642.
    Citations: 1     
  2. Thomas M, Jensen FH, Averly B, Demartsev V, Manser MB, Sainburg T, Roch MA, Strandburg-Peshkin A. A practical guide for generating unsupervised, spectrogram-based latent space representations of animal vocalizations. J Anim Ecol. 2022 08; 91(8):1567-1581. PMID: 35657634.
    Citations:    Fields:    
  3. Sainburg T, Mai A, Gentner TQ. Long-range sequential dependencies precede complex syntactic production in language acquisition. Proc Biol Sci. 2022 03 09; 289(1970):20212657. PMID: 35259983; PMCID: PMC8905171.
    Citations: 1     Fields:    Translation:HumansAnimals
  4. Sainburg T, Gentner TQ. Toward a Computational Neuroethology of Vocal Communication: From Bioacoustics to Neurophysiology, Emerging Tools and Future Directions. Front Behav Neurosci. 2021; 15:811737. PMID: 34987365; PMCID: PMC8721140.
  5. Sainburg T, McInnes L, Gentner TQ. Parametric UMAP Embeddings for Representation and Semisupervised Learning. Neural Comput. 2021 Oct 12; 33(11):2881-2907. PMID: 34474477; PMCID: PMC8516496.
    Citations: 7     Fields:    
  6. Sainburg T, Thielk M, Gentner TQ. Finding, visualizing, and quantifying latent structure across diverse animal vocal repertoires. PLoS Comput Biol. 2020 10; 16(10):e1008228. PMID: 33057332; PMCID: PMC7591061.
    Citations: 10     Fields:    Translation:HumansAnimals
  7. Zuidema W, French RM, Alhama RG, Ellis K, O'Donnell TJ, Sainburg T, Gentner TQ. Five Ways in Which Computational Modeling Can Help Advance Cognitive Science: Lessons From Artificial Grammar Learning. Top Cogn Sci. 2020 07; 12(3):925-941. PMID: 31663267; PMCID: PMC7496886.
    Citations: 1     Fields:    Translation:Humans
  8. Sainburg T, Theilman B, Thielk M, Gentner TQ. Parallels in the sequential organization of birdsong and human speech. Nat Commun. 2019 08 12; 10(1):3636. PMID: 31406118; PMCID: PMC6690877.
    Citations: 15     Fields:    Translation:HumansAnimals
Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile: HMS/HSDM faculty should contact contactcatalyst.harvard.edu. For faculty or fellow appointment updates and changes, please ask your appointing department to contact HMS. For fellow personal and demographic information, contact HMS Human Resources at human_resourceshms.harvard.edu. For faculty personal and demographic information, contact HMS Office for Faculty Affairs at facappthms.harvard.edu.
Sainburg's Networks
Click the
buttons for more information and interactive visualizations!
Concepts (24)
Similar People (60)
Same Department 
Funded by the NIH National Center for Advancing Translational Sciences through its Clinical and Translational Science Awards Program, grant number UL1TR002541.