Publikationen von Mona Garvert

Nitsch, A.; Garvert, M.; Bellmund, J. L. S.; Schuck, N. W.; Doeller, C. F.: Grid-like entorhinal representation of an abstract value space during prospective decision making. Nature Communications 15 (1), 1198 (2024)

Zheng, X. Y.; Hebart, M. N.; Grill, F.; Dolan, R. J.; Doeller, C. F.; Cools, R.; Garvert, M.: Parallel cognitive maps for multiple knowledge structures in the hippocampal formation. Cerebral Cortex 34 (2), bhad485 (2024)

Moneta, N.; Garvert, M.; Heekeren, H. R.; Schuck, N. W.: Task state representations in vmPFC mediate relevant and irrelevant value signals and their behavioral influence. Nature Communications 14 (1), 3156 (2023)

Garvert, M.; Saanum, T.; Schulz, E.; Schuck, N. W.; Doeller, C. F.: Hippocampal spatio-predictive cognitive maps adaptively guide reward generalization. Nature Neuroscience 26 (4), S. 615 - 626 (2023)

Thomas, L.; Lockwood, P. L.; Garvert, M.; Balsters, J. H.: Contagion of temporal discounting value preferences in neurotypical and autistic adults. Journal of Autism and Developmental Disorders 52 (2), S. 700 - 713 (2022)

Baram, A. B.; Muller, T. H.; Nili, H.; Garvert, M.; Behrens, T. E. J.: Entorhinal and ventromedial prefrontal cortices abstract and generalize the structure of reinforcement learning problems. Neuron 109 (4), S. 713 - 723.e7 (2021)

Wu, C. M.; Schulz, E.; Garvert, M.; Meder, B.; Schuck, N. W.: Similarities and differences in spatial and non-spatial cognitive maps. PLoS Computational Biology 16 (9), e1008149 (2020)

Demircan, C.; Saanum, T.; Pettini, L.; Binz, M.; Baczkowski, B.; Doeller, C. F.; Garvert, M.; Schulz, E.: Evaluating alignment between humans and neural network representations in image-based learning tasks. In: Advances in Neural Information Processing Systems, Bd. 37. (2024)

Garvert, M.: Representing relational knowledge for generalisation and novel inference. Seminar Series, Max Planck Institute for Biological Cybernetics, Tübingen, Germany (2020)

Garvert, M.: How the brain represents the world to guide (adaptive?) decisions. Behavioral Law and Economics Seminar Series, Max Planck Institute for Research on Collective Goods, Bonn, Germany (2020)

Garvert, M.: Representing relational knowledge for generalisation and novel inference. Institute Colloquium, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2020)

Garvert, M.: Representing structure knowledge for flexible cognition. Colloquium, Center for Cognitive Neuroscience Berlin (CCNB), FU Berlin, Germany (2019)

Garvert, M.: Representing structure knowledge for flexible cognition. Colloquium series ZiF research group 'Cognitive behavior of humans, animals and machines: Situation model perspectives' 2019, University of Bielefeld, Germany (2019)

Garvert, M.: Representing structure knowledge for flexible cognition. Symposium on Structured Representations in the Human Brain, 45th Annual Meeting “Psychologie und Gehirn” [Psychology and Brain], Dresden, Germany (2019)

Garvert, M.: Representing structure knowledge for flexible cognition. 9th IMPRS Summer School, Max Planck Institute for Human Cognitive and Brain Sciences, Leipzig, Germany (2019)

Garvert, M.: Representing structure knowledge for flexible cognition. Colloquium Series 2019, Donders Institute for Brain, Cognition and Behaviour, Radboud University, Nijmegen, the Netherlands (2019)

Garvert, M.: Representing structure knowledge for flexible cognition. Experimental Psychology Seminar Series 2019, University College London, United Kingdom (2019)

Garvert, M.: Spatial codes beyond space: Mapping conceptual knowledge in the service of flexible behaviour. Symposium on Formal Models of Neural and Behavioral Adaption, Technical University of Dresden, Germany (2018)

Garvert, M.: Spatial codes beyond space: Mapping conceptual knowledge in the service of flexible behaviour. Grid Cell Meeting, Sainsbury Wellcome Centre, London, United Kingdom (2018)

Deilmann, F.; Theves, S.; Garvert, M.; Doeller, C. F.: Integrating knowledge about structure and reward contingencies for generalization and inference. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)