Calaim, N.; Dehmelt, F. A.; Gonçalves, P. J.; Machens, C.: Geometric interpretation of robustness in spike coding networks. Computational and Systems Neuroscience (Cosyne) 2019, Lisbon, Portugal (2019)

Lueckmann, J.-M.; Gonçalves, P. J.; Chintaluri, C.; Podlaski, W. F.; Bassetto, G.; Vogels, T. P.; Macke, J. H.: Amortised inference for mechanistic models of neural dynamics. Computational and Systems Neuroscience (Cosyne) 2019, Lisbon, Portugal (2019)

Nonnenmacher, M.; Lueckmann, J.-M.; Bassetto, G.; Gonçalves, P. J.; Macke, J. H.: Inferring the parameters of neural simulations from high-dimensional observations. Computational and Systems Neuroscience (Cosyne) 2019, Lisbon, Portugal (2019)

Zbik, T.: Dynamic Conformational Changes in a Cyclic Nucleotide-Binding Domain. 58th Annual Meeting of the Biophysical-Society, San Francisco, CA (2017)

Bassetto, G.; Macke, J. H.: 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)

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. H.; 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)

Seifert, R.; Windler, F.; Boenigk, W.; Koerschen, H.-G.; Kaupp, U. B.: A Na+/H+ Exchanger Regulated by an S4 Voltage-Sensing Domain and a Cyclic Nucleotide-Binding Domain. 58th Annual Meeting of the Biophysical-Society, San Francisco, CA (2017)

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

Scheib, U.; Stehfest, K.; Gee, C. E.; Koerschen, H. G.; Mukherjee, S.; Oertner, T. G.; Hegemann, P.: Optical Control of cGMP Signaling. 61st Annual Meeting of the Biophysical-Society, New Orleans, LA (2017)

Bassetto, G.; Macke, J.: Full Bayesian inference for model-based receptive field estimation, with application to primary visual cortex. Bernstein Conference 2016, Berlin, Germany (2016)

Nonnenmacher, M.; Buesing, L.; Speiser, A.; Turaga, S.; Macke, J. H.: Stitching neural activity in space and time: theory and practice. Computational and Systems Neuroscience Meeting (COSYNE 2016), Salt Lake City, UT, USA (2016)

Basseto, G.; Sandhaeger, F.; Ecker, A.; Macke, J. H.: A statistical characterization of neural population responses in V1. Bernstein Conference 2015, Heidelberg, Germany (2015)

Flores Valle, A.: Sleep and Navigation in Drosophila. Dissertation, 397 S., Mathematisch-Naturwissenschaftlichen Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn, Bonn (2023)

Monsees, A.: Toward Constrained Animal Pose Estimation. Dissertation, 123 S., Mathematisch-Naturwissenschaftliche Fakultät der Eberhard Karls Universität Tübingen (Fachbereich Informatik), Tübingen (2023)

Schladt, T. M.: Gating of the Hv1 proton channel. Dissertation, v, 83 S., Mathematisch-Naturwissenschaftliche Fakultät der Rheinischen Friedrich-Wilhelms-Universität Bonn, Bonn (2022)

Barragán Sanz, K.: Implementation and improvement of metal-film phase plates for single-particle cryo-EM. Dissertation, xiii, 193 S., Fachbereich 3 (Mathematik/Naturwissenschaften) der Universität Koblenz-Landau, Koblenz-Landau (2021)

Lavryk, F.: Chemosensation at the physical limit by sea urchin sperm. Dissertation, 164 S., Mathematisch-Naturwissenschaftliche Fakultät der Universität zu Köln, Köln (2021)

Chen, Z.: Purification and stabilisation of an atypical HCN channel for structural studies. Dissertation, 190 S., Mathematisch-Naturwissenschaftliche Fakultät der Universität zu Köln, Köln (2021)

Udvary, D.: Three-dimensional reverse engineering of neuronal microcircuits: The barrel cortex in silico. Dissertation, xix, 244 Seiten S., Mathematisch-Naturwissenschaftliche Fakultät der Eberhard Karls Universität Tübingen, Tübingen (2021)