LIN Personal

Dr. Susann Wolff

Wissenschaftlerin

Combinatorial NeuroImaging

Leibniz-Institut für Neurobiologie
Brenneckestr. 6
39118 Magdeburg
Deutschland
Telefon: +49 391 6263 92161
E-Mail: Susann.Wolff@lin-magdeburg.de

  • Publikationen

    Publikationen

    Wolff S, Brechmann A. 2022. Dorsal posterior cingulate cortex responds to negative feedback information supporting learning and relearning of response policies. Cerebral Cortex. https://doi.org/10.1093/cercor/bhac473

    Wolff S, Kohrs C, Angenstein N, Brechmann A. 2020. Dorsal posterior cingulate cortex encodes the informational value of feedback in human-computer interaction. Scientific Reports. 10(1):Article 13030. https://doi.org/10.1038/s41598-020-68300-y

    Abolfazli A, Brechmann A, Wolff S, Spiliopoulou M. 2020. Machine learning identifies the dynamics and influencing factors in an auditory category learning experiment. Scientific Reports. 10(1):Article 6548. https://doi.org/10.1038/s41598-020-61703-x

    Siegert I, Lotz AF, Egorow O, Wolff S. 2018. Utilizing Psychoacoustic Modeling to Improve Speech-Based Emotion Recognition. Potapova R, Jokisch O, Karpov A, editors. In Speech and Computer - 20th International Conference, SPECOM 2018, Proceedings. Springer Verlag. pp. 625-635. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-319-99579-3_64

    Prezenski S, Brechmann A, Wolff S, Russwinkel N. 2017. A cognitive modeling approach to strategy formation in dynamic decision making. Frontiers in Psychology. 8(AUG):Article 1335. https://doi.org/10.3389/fpsyg.2017.01335

    Wolff S, Brechmann A. 2015. Carrot and stick 2.0: The benefits of natural and motivational prosody in computer-assisted learning. Computers in Human Behavior. 43:76-84. https://doi.org/10.1016/j.chb.2014.10.015

    Wolff S, Brechmann A. 2012. MOTI: A motivational prosody corpus for speech-based tutorial systems. In Proceedings of 10th ITG Symposium on Speech Communication. Institute of Electrical and Electronics Engineers Inc.

    Wolff S, Kohrs C, Scheich H, Brechmann A. 2011. Auswirkungen von prosodisch-motivationalen und verzögerten Rückmeldungen auf die Lernleistung und Hirnaktivität in einer Mensch-Computer Interaktion. Heiß H-U, Pepper P, Schlingloff H, Schneider J, editors. In Informatik 2011: Informatik schafft Communities: Beiträge der 41. Jahrestagung der Gesellschaft für Informatik e.V. (GI). Gesellschaft für Informatik e.V. (GI). pp. 192.
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