Buckenmaier, K.; Kempf, N.; Engelmann, J.; Beyerlein, M.; Bullinger, F.; Körber, R.; Chubarov, A.; Kirilyuk, I.; Gassensmith, J.; Theis, T. et al.; Scheffler, K.; Pravdivtsev, A.; Plaumann, M.; Martins, A.: Investigation of hyperpolarization techniques for in vivo ultralow-field MR. 18th European Molecular Imaging Meeting (EMIM 2023), Salzburg, Austria (2023)

Burgess, H.; Barnby, J.; Dayan, P.; Richards, L.: Realizing Dynamic Cognitive Tasks with Cloud-based Computation. 30th Anniversary Meeting of the Cognitive Neuroscience Society (CNS 2023), San Francisco, CA, USA (2023)

Demody, N.; Lorenz, R.; Duncan, J.; Woolgar, A.: Spatial and feature-selective attention interact to driveselective coding in frontoparietal cortex: data from healthy controls and focal lesion patients. 30th Anniversary Meeting of the Cognitive Neuroscience Society (CNS 2023), San Francisco, CA, USA (2023)

Éltetö, N.; Veit, L.; Koparkar, A.; Dayan, P.: Variable syllable context depth in Bengalese finch songs: A Bayesian sequence model. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Giannakakis, E.; Levina, A.; Buendia, V.; Khajehabdollahi, S.: Synaptic-type-specific clustering optimizes the computational capabilities of balanced recurrent networks. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Hubert, F.; Findling, C.; Gerçek, B.; Benson, B.; Whiteway, M.; Krasniak, C.; Zador, A.; The International Brain Lab; Dayan, P.; Pouget, A.: Brain wide distribution of prior belief constrains neural models of probabilistic inference. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Plaumann, M.; Prediger, I.; Mysegaes, F.; Myers, J.; Kempf, N.; Assaf, C.; Bernarding, J.; Pravdivtsev, A.; Körber, R.; Buckenmaier, K.: SABRE-based nuclear hyperpolarization of the antiviral prodrug favipiravir. 18th European Molecular Imaging Meeting (EMIM 2023), Salzburg, Austria (2023)

Renz, F.; Grossman, S.; Dayan, P.; Doeller, C.; Schuck, N.: Representation learning facilitates different levels of generalization. 10th MindBrainBody Symposium 2023 (MBB 2023), Berlin, Germany (2023)

Saanum, T.; Schulz, E.: Learning parsimonious dynamics for state abstraction and navigation. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Vasilichi, A.; Nikolova, N.; Legrand, N.; Dayan, P.; Allen, M.: Affective expectations are modulated by the interplay between visceral signals and uncertainty of the sensory environment. 10th MindBrainBody Symposium 2023 (MBB 2023), Berlin, Germany (2023)

Yang, C.; Mammen, L.; Kim, B.; Robson, D.; Li, J.: A population code for spatial representation in the larval zebrafish telencephalon. Computational and Systems Neuroscience Meeting (COSYNE 2023), Montreal, Quebec, Canada (2023)

Chen, X.: Investigating Neurovascular Coupling with Simultaneous High-Resolution fMRI and Calcium Recordings in Rats. Dissertation (2023)

Spitschan, M. (Hg.): Special Issue "Reproducibility in Sleep and Circadian Science" (Sonderheft). (eingereicht)

Kirschfeld, K.: Ökologischer Realismus. der Freitag 32 (2023)

Binz, M.; Alaniz, S.; Roskies, A.; Aczel, B.; Bergstrom, C.; Allen, C.; Schad, D.; Wulff, D.; West, J.; Zhang, Q. et al.; Shriffrin, R.; Gershman, S.; Popov, V.; Bender, E.; Marelli, M.; Botvinick, M.; Akata, Z.; Schulz, E.: How should the advent of large language models affect the practice of science? (eingereicht)

Bruijns, S.; International Brain Laboratory; Bougrova, K.; Laranjeira, I.; Lau, P.; Meijer, G.; Miska, N.; Noel, J.-P.; Pan-Vazquez, A.; Roth, N. et al.; Socha, K.; Urai, A.; Dayan, P.: Dissecting the Complexities of Learning With Infinite Hidden Markov Models. (eingereicht)

Jiang, Y.; Pais-Roldán, P.; Pohmann, R.; Yu, X.: High spatiotemporal resolution radial encoding single vessel fMRI. (eingereicht)

Thalmann, M.; Schäfer, T.; Theves, S.; Doeller, C.; Schulz, E.: Task Imprinting: Another Mechanism of Representational Change? (eingereicht)

Wu, S.; Thalmann, M.; Schulz, E.: Motif Learning Facilitates Sequence Memorization and Generalization. (eingereicht)

Lee, J.; Donato, S.; Mack, A.; Mattheus, U.; Tromba, G.; Longo, E.; D’Amico, L.; Mueller, S.; Shiozawa, T.; Bause, J. et al.; Scheffler, K.; Longo, R.; Hagberg, G.: Protocol for 3D Virtual Histology of Unstained Human Brain Tissue using Synchrotron Radiation Phase-Contrast Microtomography. (eingereicht)