Recent News

Upcoming Events

16
Jun

<i>Philosophy</i> <br>Tony Cheng (Waseda Institute of Advanced Study) <br><b>TBA</b>

June 16
12:00 pm - 2:00 pm
16
Jun

<i>Philosophy</i> <br>Regina Fabry (Sydney) <br><b>Grief and the Problem of Neuronormativity</b>

June 16
2:00 pm - 4:00 pm
16
Jun

<i>Clinical Neuroscience</i> <br>Ekrem Dere (RUB) <br><b>Future-oriented mental time travel and self-reinforcement</b>

June 16
4:00 pm - 6:00 pm
17
Jun

<i>Psychology</i> <br>Claudia Passos-Ferreira (New York University) <br><b>Infant Consciousness: How, Where, Whether, When , What?</b>

June 17
4:00 pm - 5:30 pm
17
Jun

<i>Philosophy</i> <br>John Krakauer (Johns Hopkins/Champalimaud Foundation) & Bill Ramsey (Nevada, Las Vegas) <br><b>Mental Representation without Neural Representation</b>

June 17
6:00 pm - 8:00 pm
18
Jun

Workshop: <br><b>The Conscious Mind at 30</b>

June 18
10:00 am - 6:00 pm

Relevant Publications

For full list of selected publications, see the publications page

When is learning “effortful”? Scrutinizing the concept of mental effort in cognitively-oriented research from a motivational perspective

Roelle, 2024 Grund, A., Fries, S., Nückles, M., Renkl, A., & Roelle, J. (2024). When is learning “effortful”? Scrutinizing the concept of mental effort in cognitively-oriented research from a motivational perspective. Educational Psychology Review, 36, Article...

Foundation Models – A New Paradigm for Artificial Intelligence

Meske, 2024 Schneider, J., Meske, C. and Kuss, P. (2024). Foundation Models – A New Paradigm for Artificial Intelligence. Business & Information Systems Engineering 66, 221–231. http://dx.doi.org/10.1007/s12599-024-00851-0

Prediction error processing and sharpening of expected information across the face-processing hierarchy

Blank, 2024 Garlichs, A. & Blank, H. (2024). Prediction error processing and sharpening of expected information across the face-processing hierarchy. Nature Communications, 15, 3407.doi.org/10.1038/s41467-024-47749-9

Opposing serial effects of stimulus and choice in speech perception scale with context variability

Blank, 2024 Ufer, C. & Blank, H. (2024) Opposing serial effects of stimulus and choice in speech perception scale with context variability. iScience:110611.https://doi.org/10.1016/j.isci.2024.110611

Deceptive XAI: Typology, Creation and Detection

Meske, 2024 Schneider, J., Meske, C. & Vlachos, M. (2024). Deceptive XAI: Typology, Creation and Detection. SN Computer Science 5, 81. https://doi.org/10.1007/s42979-023-02401-z

Out of touch? How trauma shapes the experience of social touch – neural and endocrine pathways

Scheele, 2024 Stevens L., Bregulla M., Scheele D. (2024). Out of touch? How trauma shapes the experience of social touch – neural and endocrine pathways. Neuroscience & Biobehavioral Reviews (in press)

Mechanistic flexibility of the Retrosplenial Cortex enables its contribution to spatial cognition

Stacho & Manahan-Vaughan, 2022 Stacho M., & Manahan-Vaughan, D. (2022). Mechanistic flexibility of the Retrosplenial Cortex enables its contribution to spatial cognition. Trends In Neurosciences, 45(4), 284-296. https://doi.org/10.1016/j.tins.2022.01.007

Quo Vadis Psychiatry? Why It Is Time to Endorse Evolutionary Theory

Brüne, 2022 Brüne, M., Palanza, P., Parmigiani, S., & Troisi, A. (2022). Quo Vadis Psychiatry? Why It Is Time to Endorse Evolutionary Theory. The Journal of Nervous and Mental Disease, 210(4), 235-245.

Neural dynamic foundations of a theory of higher cognition: The case of grounding nested phrases.

Schöner & Sabinasz, 2023 Sabinasz, D., Richter, M., & Schöner, G. (2023). Neural dynamic foundations of a theory of higher cognition: The case of grounding nested phrases. Cognitive Neurodynamics.  https://doi.org/10.1007/s11571-023-10007-7

A map of spatial navigation for neuroscience

Wiskott, 2023 Parra-Barrero, E., Vijayabaskaran, S., Seabrook, E., Wiskott, L., & Cheng, S. (2023). A map of spatial navigation for neuroscience. Neuroscience and biobehavioral reviews, 152, 105200. https://doi.org/10.1016/j.neubiorev.2023.105200

Intuitive Expertise in Moral Judgments

Horvath, 2022 Horvath, J., & Wiegmann, A. (2022). Intuitive Expertise in Moral Judgments. Australasian Journal of Philosophy, 100(2), 342–359. https://doi.org/10.1080/00048402.2021.1890162

Minds, Brains, and Deep Learning: The Development of Cognitive Science Through the Lens of Kant’s Approach to Cognition

Schlicht, 2022 Schlicht, T. (2022). 1 Minds, Brains, and Deep Learning: The Development of Cognitive Science Through the Lens of Kant’s Approach to Cognition. Kant and Artificial Intelligence.

Can you teach me not to be angry? Relations between temperament and the emotion regulation strategy distraction in 2-year-olds.

Schneider, 2022 Schoppmann, J., Schneider, S., & Seehagen, S. (2022). Can you teach me not to be angry? Relations between temperament and the emotion regulation strategy distraction in 2-year-olds. Child Development, 93(1), 165–179....

Deceptive XAI: Typology, Creation and Detection

Meske, 2024 Schneider, J., Meske, C. & Vlachos, M. (2024). Deceptive XAI: Typology, Creation and Detection. SN Computer Science 5, 81. https://doi.org/10.1007/s42979-023-02401-z

Reflecting (on) Replica. Can We Have a Good Affective Relationship with a Social Chatbot?

Weber-Guskar, 2022 Weber-Guskar, E. (2022). Reflecting (on) Replica. Can We Have a Good Affective Relationship with a Social Chatbot? In: Social Robotics and the Good Life: The Normative Side of Forming Emotional Bonds With Robots. (2022). transcript Verlag....

Stress-Mediated Abnormalities in Regional Myocardial Wall Motion in Young Women with a History of Psychological Trauma

Brüne, 2023 Aweimer, A., Engemann, L., Amar, S., Ewers, A., Afshari, F., Maiß, C., Kern, K., Lücke, T., Mügge, A., El-Battrawy, I., Dietrich, J. W., & Brüne, M. (2023). Stress-Mediated Abnormalities in Regional Myocardial Wall Motion in Young Women with a History...

Fictional emotions and emotional reactions to social robots as depictions of social agents

Weber-Guskar, 2023 Blatter, J., & Weber-Guskar, E. (2023). Fictional emotions and emotional reactions to social robots as depictions of social agents. Behavioral and Brain Sciences, 46, e24. https://doi.org/10.1017/S0140525X22001716

Happy together? On the relationship between research on retrieval practice and generative learning using the case of follow-up learning tasks

Roelle, 2023 Roelle, J., Endres, T., Abel, R., Obergassel, N., Nückles, M., & Renkl, A. (2023). Happy together? On the relationship between research on retrieval practice and generative learning using the case of follow-up learning tasks. Educational Psychology...

A Model of Semantic Completion in Generative Episodic Memory

Cheng, 2022 Fayyaz, Z., Altamimi, A., Zoellner, C., Klein, N., Wolf, O. T., Cheng, S., & Wiskott, L. (2022). A Model of Semantic Completion in Generative Episodic Memory. Neural Computation, 34(9), 1841–1870.

Understanding another person’s emotions – an interdisciplinary research approach

Brüne, 2018 Juckel, G., Heinisch, C., Welpinghus, A., & Brüne, M. (2018). Understanding Another Person’s Emotions-An Interdisciplinary Research Approach. Frontiers in Psychiatry, 9, 414. https://doi.org/10.3389/fpsyt.2018.00414

The interaction of Bayesian pragmatics and lexical semantics in linguistic interpretation: Using event-related potentials to investigate hearers’ probabilistic predictions

Werning, 2017 Werning, M., & Cosentino, E. (2017). The interaction of Bayesian pragmatics and lexical semantics in linguistic interpretation: Using event-related potentials to investigate hearers’ probabilistic predictions. In: G. Gunzelmann, A. Howes, T....

Exploring accidental triggers of smart speakers

Kolossa, 2022 Schönherr, L., Golla, M., Eisenhofer, T., Wiele, J., Kolossa, D., & Holz, T. (2022). Exploring accidental triggers of smart speakers. Computer Speech & Language, 73, 101328. https://doi.org/10.1016/j.csl.2021.101328

Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence

Güntürkün, 2018 Genç, E., Fraenz, C., Schlüter, C., Friedrich, P., Hossiep, R., Voelkle, M. C., Güntürkün, O., … Jung, R. E. (2018). Diffusion markers of dendritic density and arborization in gray matter predict differences in intelligence. Nature Communications,...

Minds, Brains, and Deep Learning: The Development of Cognitive Science Through the Lens of Kant’s Approach to Cognition

Schlicht, 2022 Schlicht, T. (2022). 1 Minds, Brains, and Deep Learning: The Development of Cognitive Science Through the Lens of Kant’s Approach to Cognition. Kant and Artificial Intelligence.