An improved estimator of Variance Explained in the presence of noise. - Ralf M. Haefner; Bruce G. Cumming (NIPS, 2008)

Evaluating neuronal codes for inference using Fisher information. - Ralf M. Haefner; Matthias Bethge (NIPS, 2010)

Slowness and Sparseness Have Diverging Effects on Complex Cell Learning. - Jörn-Philipp Lies; Ralf M. Häfner; Matthias Bethge (PLoS Comput. Biol., 2014)

A probabilistic population code based on neural samples. - Sabyasachi Shivkumar; Richard D. Lange; Ankani Chattoraj; Ralf M. Haefner (NeurIPS, 2018)

Relating confidence judgements to temporal biases in perceptual decision-making. - Ankani Chattoraj; Martynas Snarskis; Ralf M. Haefner (CogSci, 2021)

A confirmation bias due to approximate active inference. - Ankani Chattoraj; Sabyasachi Shivkumar; Yongsoo Ra; Ralf M. Haefner (CogSci, 2021)

Tactile motion coordinate transforms in the somatosensory system. - Himanshu Ahuja; Ralf M. Haefner; Gregory C. DeAngelis; Manuel Gomez-Ramirez (WHC, 2021)

A confirmation bias in perceptual decision-making due to hierarchical approximate inference. - Richard D. Lange; Ankani Chattoraj; Jeffrey M. Beck; Jacob L. Yates; Ralf M. Haefner (PLoS Comput. Biol., 2021)

Interpolating between sampling and variational inference with infinite stochastic mixtures. - Richard D. Lange; Ari S. Benjamin; Ralf M. Haefner; Xaq Pitkow (UAI, 2022)

Task-induced neural covariability as a signature of approximate Bayesian learning and inference. - Richard D. Lange; Ralf M. Haefner (PLoS Comput. Biol., 2022)

A General Method for Testing Bayesian Models using Neural Data. - Gabor Lengyel; Sabyasachi Shivkumar; Ralf M. Haefner (UniReps, 2023)

How does the brain compute with probabilities? - Ralf M. Haefner; Jeffrey M. Beck; Cristina Savin; Mehrdad Salmasi; Xaq Pitkow (CoRR, 2024)