Elnagar, S.; Menghi, N.; Greve, A.; Doeller, C. F.: The effect of prior knowledge on new learning. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)

Menghi, N.; Vigano, S.; Hinrichs, M. A. B.; Maess, B.; Doeller, C. F.: Compressing, aligning and transferring knowledge across tasks and domains. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)

Nitsch, A.; Garvert, M.; Bellmund, J. L. S.; Schuck, N. W.; Doeller, C. F.: Grid-like coding of an abstract value space for prospective decision making. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)

Reisner, V.; Kim, M.; Schäfer, T. A. J.; de Cothi, W.; Caswell, B.; Doeller, C. F.: Geometric determinates of spatial representations in the human hippocampal formation. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)

Tenderra, R.; Doeller, C. F.; Theves, S.: Investigating the relationship between connectivity fingerprints and spatial representations in human entorhinal cortex. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)

Vigano, S.; Bayramova, R.; Doeller, C. F.; Bottini, R.: Mental search of concepts is supported by egocentric vector representations and restructured grid maps. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)

Jeung, S.; Iggena, D.; Maier, P.; Hosgoren, B.; Ploner, C.; Finke, C.; Gramann, K.: Navigation-related FM theta power in patients with right medial temporal lobe lesions is higher and negatively linked with performance in desktop but not in mobile VR. Neuroscience 2023 – 53rd Annual Meeting of the Society for Neuroscience (SfN), Washington, DC, USA (2023)

Lo, C.; Henke, L.; Meyer, L.: The cognitive throttle of language: Exploring the limits of information processing. 15th Annual Meeting of the Society for the Neurobiology of Language (SNL 2023), Marseille, France (2023)

Menn, K.; Plueckebaum, H.; Meyer, L.: The development of excitation-inhibition balance relates to speech processing: Evidence from EEG. 15th Annual Meeting of the Society for the Neurobiology of Language, Marseille, France (2023)

Menn, K.; Plueckebaum, H.; Meyer, L.: The development of excitation-inhibition balance relates to speech processing: Evidence from EEG. Cutting Gardens EEG Workshop, Frankfurt, Germany (2023)

Jeung, S.; Doeller, C. F.; Gramann, K.: EEG high gamma band activity is modulated by heading during simulated motion. Berlin Neuroscience Meeting, Berlin, Germany (2023)

Endres, K.; Lammer, L.; Wittekind, D.; Riedel-Heller, S. G.; Sacher, J.; Villringer, A.; Witte, A. V.: Obesity and depressive symptoms: Investigating the mediating role of fasting ghrelin serum levels. 36th ECNP Congress, Barcelona, Spain (2023)

Gerster, M.; Waterstraat, G.; Litvak, V.; Köhler, R. M.; Vanhoecke, J.; Binns, T. S.; Krause, P.; Faust, K.; Schneider, G.-H.; Kühn, A. et al.; Villringer, A.; Curio, G.; Neumann, W.-J.; Nikulin, V. V.: Aperiodic LFP power in the human subthalamic nucleus correlates with bradykinesia in Parkinson's disease. CRC TRR 295 “ReTune” Fall School 2023, Apolda, Germany (2023)

Gippert, M.; Heed, T.; Howard, I. S.; Villringer, A.; Sehm, B.; Nikulin, V. V.: Motor imagery of linked movements enhances motor adaptation. Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting, Virtual (2023)

Henke, L.; Maess, B.; Meyer, L.: Does the closure positive shift consist of phase-locked delta-band oscillations? Annual Meeting of the Society for the Neurobiology of Language, Marseille, France (2023)

Kapralov, N.; Jamshidi Idaji, M.; Stephani, T.; Studenova, A.; Vidaurre, C.; Ros, T.; Villringer, A.; Nikulin, V. V.: Sensorimotor BCI performance depends on signal-to-noise ratio but not phase synchronization of the mu rhythm: A multiverse analysis of longitudinal data. Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting, Virtual (2023)

Kapralov, N.; Studenova, A.; Nolte, G.; Haufe, S.; Ros, T.; Villringer, A.; Nikulin, V. V.: Optimization of M/EEG spatial filters for extraction of ROI time series based on cross-talk function. Cutting Gardens 2023 – EEG and MEG methods multi-hub meeting , Virtual (2023)

Titone, L.; Maess, B.; Meyer, L.: Cortical tracking of prosodic and statistical regularities in artificial speech. 15th Annual Meeting of the Society for the Neurobiology of Language, Marseille, France (2023)

Vartanian, M.; Jahanitabesh, A.; Christensen, J. F.; Staub, H.; Villringer, A.; Witte, A. V.: Neuronal responses to visual food cues according to weight and hunger status: A systematic review and meta-analysis. 36th ECNP Congress, Barcelona, Spain (2023)

Seeliger, K.; Leipe, R.; Roth, J.; Hebart, M. N.: Uncovering high-level visual cortex preferences by training convolutional neural networks on large neuroimaging data. Neuro-AI-Talks (NEAT), Osnabrück, Germany (2023)

Barnaveli, I.; Vigano, S.; Reznik, D.; Haggard, P.; Doeller, C. F.: Abstract representation of action plans in the hippocampal-entorhinal system. Seeing and Acting Workshop (SAW), Coimbra, Portugal (2023)

Fourcade, A.; Klotzsche, F.; Hofmann, S.; Mariola, A.; Nikulin, V. V.; Villringer, A.: Linking brain-heart interactions to emotional arousal in immersive virtual reality. Annual Meeting of the Society for Psychophysiological Research (SPR 2023), New Orleans, LA, USA (2023)

Keck, J.; Doeller, C. F.; Jost, J.; Barry, C.: Learning successor representations: Exploring temporally asymmetric and symmetric plasticity rules. 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom (2023)

Graham, T.; Spitzer, B.: Singular violations of transitivity disrupt inferred relational knowledge in humans and reinforcement learning models. 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom (2023)

Mahner, F.; Muttenthaler, L.; Güçlü, U.; Hebart, M. N.: Dimensions that matter: Interpretable object dimensions in humans and deep neural networks. 6th Annual Conference on Cognitive Computational Neuroscience (CCN), Oxford, United Kingdom (2023)