Publications of F Bröker

Bröker, F.; Love, B.; Dayan, P.: When unsupervised training benefits category learning. Cognition 221, 104984 (2022)

Bröker, F.; Ramscar, M.: Representing absence of evidence: why algorithms and representations matter in models of language and cognition. Language, Cognition and Neuroscience Epub ahead (2020)

Azizi, A.; Pusch, R.; Koenen, C.; Klatt, S.; Bröker, F.; Thiele, S.; Kellermann, J.; Güntürkün, O.; Chen, S.: Emerging category representation in the visual forebrain hierarchy of pigeons (Columba livia). Behavioural Brain Research 356, pp. 423 - 434 (2019)

Bröker, F.; Marshall, L.; Bestmann, S.; Dayan, P.: Forget-me-some: General versus special purpose models in a hierarchical probabilistic task. PLoS One 13 (10), pp. 1 - 22 (2018)

Bröker, F.; Roads, B.; Dayan, P.; Love, B.: Teaching categories to human semi-supervised learners. In: 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), 2.8, pp. 122 - 125. 5th Multidisciplinary Conference on Reinforcement Learning and Decision Making (RLDM 2022), Providence, RI, USA, June 08, 2022 - June 11, 2022. (2022)

Bröker, F.; Love, B.; Dayan, P.: The varied effect of unsupervised information on human category learning. Bernstein Conference 2020 (2020)

Bröker, F.; Love, B.; Dayan, P.: Semi-Supervised Categorisation: Input Representations Determine Necessity of Feedback. 20th Conference of Junior Neuroscientists (NeNa 2019) , Schramberg, Germany (2019)

Archer, K.; Catenacci Volpi, N.; Bröker, F.; Polani, D.: A space of goals: the cognitive geometry of informationally bounded agents. (submitted)