Ralf M. Haefner

13 papers A* 1A 1B 2Journal 5Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Task learning increases information redundancy of neural responses in macaque visual cortex. CoRR Shizhao Liu, Anton Pletenev, Ralf M. Haefner, Adam C. Snyder
2024	J	`jnl`	How does the brain compute with probabilities? CoRR Ralf M. Haefner, Jeffrey M. Beck, Cristina Savin, Mehrdad Salmasi, Xaq Pitkow
2023	—	`conf`	A General Method for Testing Bayesian Models using Neural Data. UniReps Gabor Lengyel, Sabyasachi Shivkumar, Ralf M. Haefner
2022	A	`conf`	Interpolating between sampling and variational inference with infinite stochastic mixtures. UAI Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow
2022	J	`jnl`	Task-induced neural covariability as a signature of approximate Bayesian learning and inference. PLoS Comput. Biol. Richard D. Lange, Ralf M. Haefner
2021	B	`conf`	A confirmation bias due to approximate active inference. CogSci Ankani Chattoraj, Sabyasachi Shivkumar, Yongsoo Ra, Ralf M. Haefner
2021	J	`jnl`	A confirmation bias in perceptual decision-making due to hierarchical approximate inference. PLoS Comput. Biol. Richard D. Lange, Ankani Chattoraj, Jeffrey M. Beck, Jacob L. Yates, Ralf M. Haefner
2021	J	`jnl`	Interpolating between sampling and variational inference with infinite stochastic mixtures. CoRR Richard D. Lange, Ari S. Benjamin, Ralf M. Haefner, Xaq Pitkow
2021	B	`conf`	Relating confidence judgements to temporal biases in perceptual decision-making. CogSci Ankani Chattoraj, Martynas Snarskis, Ralf M. Haefner
2021	—	`conf`	Tactile motion coordinate transforms in the somatosensory system. WHC Himanshu Ahuja, Ralf M. Haefner, Gregory C. DeAngelis, Manuel Gomez-Ramirez
2018	A*	`conf`	A probabilistic population code based on neural samples. NeurIPS Sabyasachi Shivkumar, Richard D. Lange, Ankani Chattoraj, Ralf M. Haefner
2010	—	`conf`	Evaluating neuronal codes for inference using Fisher information. NIPS Ralf M. Haefner, Matthias Bethge
2008	—	`conf`	An improved estimator of Variance Explained in the presence of noise. NIPS Ralf M. Haefner, Bruce G. Cumming