Franziska Bröker

PhD student in computational neuroscience


  1. Bröker F, Love BC, and Dayan P. (2021). When unsupervised training benefits category learning. PsyArXiv. link
  2. Bröker F, and Ramscar M. (2020). Representing absence of evidence: Why algorithms and representations matter in models of language and cognition Language, Cognition and Neuroscience. link
  3. Azizi AH, Pusch R, Koenen C, Klatt S, Bröker F, Thiele S, Kellermann J, Güntürkün O, and Cheng S. (2019) Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia). Behavioural Brain Research. 356, 423-434. link
  4. Bröker F, Marshall L, Bestmann S, and Dayan P. (2018). Forget-me-some: General versus Special Purpose Models in a Hierarchical Probabilistic Task. PLoS one, 13(10): e0205974. link
  5. Tomaschek F, Arnold D, Bröker F, and Baayen RH. (2018). Lexical frequency co-determines the speed-curvature relation in articulation. Journal of Phonetics, 68, 103-116. link
  6. Linke M, Bröker F, Ramscar M, and Baayen RH. (2017). Are baboons learning 'orthographic' representations? Probably not. PLoS one, 12(8): e0183876. link
  7. Wieling M, Tomaschek F, Arnold D, Tiede M, Bröker F, Thiele S, Wood SN, and Baayen RH. (2016). Investigating dialectal differences using articulography. Journal of Phonetics, 59, 122-143. link
  8. Koenen C, Pusch R, Bröker F, Thiele S, and Güntürkün O. (2016). Categories in the pigeon brain: A reverse engineering approach. Journal of the experimental analysis of behavior, 105(1), 111-122. link