Zavecz, Z.; Horváth, K.; Pesthy, O.; Éltetö, N.; Janacsek, K.; Nemeth, D.: The effect of transcranial alternating current stimulation on probabilistic learning. 6th International Conference on Transcranial Brain Stimulation, Göttingen, Germany (2017)

Bassetto, G.; Macke, J.: Using bayesian inference to estimate receptive fields from a small number of spikes. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Berens, P.; Theis, L.; Stone, J.; Sofroniew, N.; Tolias, A.; Bethge, M.; Freeman, J.: Standardizing and benchmarking data analysis for calcium imaging. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Bicknell, B.; Dayan, P.; Goodhill, G.: Sensitivity and Robustness in an Axon Guidance Signaling System. 61st Annual Meeting of the Biophysical Society, New Orleans, LA, USA (2017)

Cadena, S.; Ecker, A.; Denfield, G.; Walker, E.; Tolias, A.; Bethge, M.: A goal-driven deep learning approach for V1 system identification. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Denfield, G.; Ecker, A.; Tolias, A.: The Role of Internal Signals in Structuring V1 Population Activity. 27th Annual Rush and Helen Record Neuroscience Forum, Galveston, TX, USA (2017)

Goncalves, P.; Lueckmann, J.-M.; Bassetto, G.; Nonnenmacher, M.; Macke, J.: Flexible Bayesian inference for mechanistic models of neural dynamics. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Lueckmann, J.-M.; Macke, J.; Nienborg, H.: Can serial dependencies in choices and neural activity explain choice probabilities? Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Mathis, A.; Wei, A.; Ding, A.; Bethge, M.; Murthy, V.: Boosting olfactory cocktail-party performance by semi-supervised learning in mice. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Speiser, A.; Turaga, S.; Archer, E.; Macke, J.: Amortized inference for fast spike prediction from calcium imaging data. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Soeiro-de-Souza, M.; Machado-Vieira, R.; Moreno, R.; Chile, T.; Gouveia , G.; Pastorello, B.; Leite, C.; Henning, A.; Otaduy, M.; Vallada, H.: GAD1 Polymorphisms are Associated with Glutamatergic Activity in the Anterior Cingulate Bipolar I Disorder. XIIIrd World Congress of Psychiatric Genetics (WCPG 2015), Toronto, Canada (2017)

Kumar, V.: Structural and functional anatomy of the human thalamus. Dissertation, Eberhard Karls Universität, Tübingen, Germany (2017)

Pfrommer, A.: Optimization of radiofrequency coils for human brain magnetic resonance spectroscopy at ultra-high field strength. Dissertation, Eberhard-Karls-Universität Tübingen, Tübingen, Germany (2017)

Schulz, E.: Towards a unifying model of generalization. Dissertation, 257 S., University College London, London, UK (2017)

Hanrieder, M.: Collaborative Spatial Search: Implementation and Validation of a Multi-User Task in Walkable Virtual Environments. Bachelor, Eberhard-Karls-Universität, Tübingen, Germany (2017)

Danihelka, I.; Lakshminarayanan, B.; Uria, B.; Wierstra, D.; Dayan, P.: Comparison of Maximum Likelihood and GAN-based training of Real NVPs. (eingereicht)

Tognon, M.; Yüksel, B.; Buondonno, G.; Franchi, A.: Explicit Computations, Simulations and additional Results for the Dynamic Decentralized Control for Protocentric Aerial Manipulators Technical Attachment to: ”Dynamic Decentralized Control for Protocentric Aerial Manipulators” 2017 IEEE International Conference on Robotics and Automation (ICRA), Singapore, May 2017 (Rapport LAAS-CNRS, 17048). Laboratoire d'analyse et d'architecture des systèmes, Toulouse, France (2017)

Mohler, B.: Studying Anorexia Nervosa with VR Self-Avatars: Is Body Image a Matter of Perception or Attitude?, Voices of VR Podcast, (2017)

Heule, R.; Bieri, O.: Magnetic resonance imaging method for the quantification of the T1 and/or T2 relaxation times in a sample. US9625547B2 (2017)

Parpart, P.; Schulz, E.; Speekenbrink, M.; Love, B.: Active learning reveals underlying decision strategies. (eingereicht)