| Perceptual decision-making as probabilistic inference by neural sampling RM Haefner, P Berkes, J Fiser Neuron 90 (3), 649-660, 2016 | 212 | 2016 |
| Inferring decoding strategies from choice probabilities in the presence of correlated variability RM Haefner, S Gerwinn, JH Macke, M Bethge Nature neuroscience 16 (2), 235-242, 2013 | 177 | 2013 |
| Feedback determines the structure of correlated variability in primary visual cortex AG Bondy, RM Haefner, BG Cumming Nature neuroscience 21 (4), 598-606, 2018 | 141 | 2018 |
| A dynamical model of the inner Galaxy R Häfner, NW Evans, W Dehnen, J Binney Monthly Notices of the Royal Astronomical Society 314 (3), 433-452, 2000 | 97 | 2000 |
| Adaptation to natural binocular disparities in primate V1 explained by a generalized energy model RM Haefner, BG Cumming Neuron 57 (1), 147-158, 2008 | 64 | 2008 |
| Simple three-integral scale-free galaxy models NW Evans, RM Häfner, PT De Zeeuw Monthly Notices of the Royal Astronomical Society 286 (2), 315-328, 1997 | 60 | 1997 |
| A neural basis for the spatial suppression of visual motion perception LD Liu, RM Haefner, CC Pack Elife 5, e16167, 2016 | 55 | 2016 |
| A modality-specific feedforward component of choice-related activity in MT A Smolyanskaya, RM Haefner, SG Lomber, RT Born Neuron 87 (1), 208-219, 2015 | 44 | 2015 |
| Suppressive mechanisms in monkey V1 help to solve the stereo correspondence problem S Tanabe, RM Haefner, BG Cumming Journal of Neuroscience 31 (22), 8295-8305, 2011 | 39 | 2011 |
| A confirmation bias in perceptual decision-making due to hierarchical approximate inference RD Lange, A Chattoraj, JM Beck, JL Yates, RM Haefner PLOS Computational Biology 17 (11), e1009517, 2021 | 31 | 2021 |
| Differentiating between models of perceptual decision making using pupil size inferred confidence K Kawaguchi, S Clery, P Pourriahi, L Seillier, RM Haefner, H Nienborg Journal of Neuroscience 38 (41), 8874-8888, 2018 | 26 | 2018 |
| An improved estimator of Variance Explained in the presence of noise R Haefner, B Cumming Advances in neural information processing systems 21, 2008 | 24 | 2008 |
| A probabilistic population code based on neural samples S Shivkumar, R Lange, A Chattoraj, R Haefner Advances in neural information processing systems 31, 2018 | 23 | 2018 |
| Characterizing and interpreting the influence of internal variables on sensory activity RD Lange, RM Haefner Current opinion in neurobiology 46, 84-89, 2017 | 22 | 2017 |
| Slowness and sparseness have diverging effects on complex cell learning JP Lies, RM Häfner, M Bethge PLoS computational biology 10 (3), e1003468, 2014 | 22 | 2014 |
| Task-induced neural covariability as a signature of approximate Bayesian learning and inference RD Lange, RM Haefner PLoS computational biology 18 (3), e1009557, 2022 | 18 | 2022 |
| Bayesian encoding and decoding as distinct perspectives on neural coding RD Lange, S Shivkumar, A Chattoraj, RM Haefner Nature Neuroscience 26 (12), 2063-2072, 2023 | 15 | 2023 |
| Aberrant causal inference and presence of a compensatory mechanism in autism spectrum disorder JP Noel, S Shivkumar, K Dokka, RM Haefner, DE Angelaki Elife 11, e71866, 2022 | 15 | 2022 |
| Evaluating neuronal codes for inference using Fisher information RM Haefner, M Bethge Advances in neural information processing systems, 1993-2001, 2010 | 11* | 2010 |
| A confirmation bias in perceptual decision-making due to hierarchical approximate inference. bioRxiv, 440321 RD Lange, A Chattoraj, JM Beck, JL Yates, RM Haefner | 10 | 2020 |
Matthias BethgeTübingen University & Maddox Co-FounderVerified email at bethgelab.org
