Doris Pischedda

Doris Pischedda is currently a Postdoc in the lab. She obtained her B.Sc. and M.Sc. degrees in Psychology from the University of Milano-Bicocca and carried out part of her doctoral research in the lab. In 2014, she received a Ph.D. in Cognitive Neuroscience from the University of Milano-Bicocca. She came back to the lab to perform a neuroeconomics study for the University of Minnesota. Afterward, she worked as a postdoc at the Center for Mind/Brain Sciences in Trento. She is now working within the Cluster of Excellence “Science of Intelligence” to characterize the cognitive mechanisms underlying human behavior so that they can be synthesized and reproduced in artificial agents. Her focus is on neural representations of partner-specific information in task-oriented human-human and human-robot interactions.

Publications

Reverberi, C., Pischedda, D., Mantovani, M., Haynes, J. D., & Rustichini, A. (2022). Strategic Complexity and Cognitive Skills affect Brain Response in Interactive Decision-Making. Scientific Reports, 12, 15896.

Henke, L., Guseva, M., Wagemans, K., Pischedda, D., Haynes, J. D., Jahn, G., & Anders, S. (2022). Surgical face masks do not impair the decoding of facial expressions of negative affect more severely in older than in younger adults. Cognitive Research: Principles and Implications, 7, 63.

Wudarczyk, O. A., Kirtay, M., Pischedda, D., Hafner, V. V., Haynes, J. D., Kuhlen, A. K., & Abdel Rahman, R. (2021). Robots facilitate human language production. Scientific Reports, 11(1), 1-11.

Wudarczyk, O. A., Kirtay, M., Kuhlen, A. K., Abdel Rahman, R., Haynes, J. D., Hafner, V. V., & Pischedda, D. (2021). Bringing Together Robotics, Neuroscience, and Psychology: Lessons Learned From an Interdisciplinary Project. Frontiers in Human Neuroscience, 15, 160.

Kirtay, M., Wudarczyk, O. A., Pischedda, D., Kuhlen, A. K., Abdel Rahman, R., Haynes, J. -D., & Hafner, V. V. (2020). Modeling robot co-representation: state-of-the-art, open issues, and predictive learning as a possible framework. In 2020 Joint IEEE International conference on development and learning and epigenetic robotics (ICDL-EpiRob 2020), pp. 1-8. IEEE. DOI: 10.1109/ICDL-EpiRob48136.2020.9278031.

Botvinik-Nezer, R., Holzmeister, F., Camerer, C., Dreber, A., Huber, J., Johannesson, M., … Pischedda, D., … Schonberg, T. (2020). Variability in the analysis of a single neuroimaging dataset by many teams. Nature, 582, 84–88.

Pischedda, D., Palminteri, S., & Coricelli, G. (2020). The effect of counterfactual information on outcome value coding in medial prefrontal and cingulate cortex: from an absolute to a relative neural code. The Journal of Neuroscience, 40(16), 3268-3277.

Botvinik-Nezer, R., Holzmeister, F., Camerer, C., Dreber, A., Huber, J., Johannesson, M., … Pischedda, D., … Schonberg, T. (2019). Variability in the analysis of a single neuroimaging dataset by many teams. bioRxiv doi: 10.1101/843193

Schrouff, J., Pischedda, D., Genon, S., Fryns, G., Pinho, A.L., Vassena, E., Liuzzi, A.G., Ferreira, F.S. (2019). Gender bias in (neuro)science: facts, consequences and solutions. European Journal of Neuroscience, 50(7), 3094-3100.

Pischedda, D. (2018). Characterizing the Impact of Distracting Input on Visual Working Memory Representations. The Journal of Neuroscience, 38(50), 10589 -10591.

Uithol, S., Görgen, K., Pischedda, D., Toni, I., & Haynes, J.-D. (2018). The context-dependent nature of the neural implementation of intentions. bioRxiv doi: 10.1101/401174.

Pischedda, D., Görgen, K., Haynes, J.-D., & Reverberi, C. (2017). Neural representations of hierarchical rule sets: The human control system represents rules irrespective of the hierarchical level to which they belong. The Journal of Neuroscience, 37(50), 12281-12296.

Di Rosa, E., Pischedda, D., Cherubini, P., Mapelli, D., Tamburin, S., & Burigo, M. (2017). Working memory in healthy aging and in Parkinson's disease: Evidence of interference effects. Aging, Neuropsychology, and Cognition, 24(3), 281-298.

Baggio, G., Cherubini, P., Pischedda, D., Blumenthal, A., Haynes, J.-D., & Reverberi, C. (2016). Multiple neural representations of elementary logical connectives. NeuroImage, 135, 300-310.

Reverberi, C., Pischedda, D., Burigo, M., & Cherubini, P. (2012). Deduction without awareness. Acta Psychologica, 139(1), 244-253.

Contacts

Phone: +49 (0)30 2093 6768

E-Mail: doris.pischedda@bccn-berlin.de

Website: https://sites.google.com/view/dorispischedda/home

Bernstein Center for Computational Neuroscience

Philippstr. 13, Haus 6

10115 Berlin