_{Publications:
Neural Computation and Behavior}

Schütt, H.; Harmeling, S.; Macke, J.; Wichmann, F.: Painfree and accurate Bayesian estimation of psychometric functions for (potentially) overdispersed data. Vision Research 122, pp. 105 - 123 (2016)

Park, M.; Bohner, G.; Macke, J.: Unlocking neural population non-stationarity using a hierarchical dynamics model. In: Advances in Neural Information Processing Systems 28, pp. 145 - 153 (Eds. Cortes, C.; Lawrence, N.; Lee, D.; Sugiyama, M.; Garnett, R.). Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015), Montréal, Canada, December 07, 2015 - December 12, 2015. Curran, Red Hook, NY, USA (2016)

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)