Ralf M. Haefner
Ralf M. Haefner
Associate Prof for Brain & Cognitive Science, University of Rochester
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Perceptual decision-making as probabilistic inference by neural sampling
RM Haefner, P Berkes, J Fiser
Neuron 90 (3), 649-660, 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
Feedback determines the structure of correlated variability in primary visual cortex
AG Bondy, RM Haefner, BG Cumming
Nature neuroscience 21 (4), 598-606, 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
Adaptation to natural binocular disparities in primate V1 explained by a generalized energy model
RM Haefner, BG Cumming
Neuron 57 (1), 147-158, 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
A neural basis for the spatial suppression of visual motion perception
LD Liu, RM Haefner, CC Pack
Elife 5, e16167, 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
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
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
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
A probabilistic population code based on neural samples
S Shivkumar, R Lange, A Chattoraj, R Haefner
Advances in neural information processing systems 31, 2018
An improved estimator of Variance Explained in the presence of noise
R Haefner, B Cumming
Advances in neural information processing systems 21, 2008
Characterizing and interpreting the influence of internal variables on sensory activity
RD Lange, RM Haefner
Current opinion in neurobiology 46, 84-89, 2017
Slowness and sparseness have diverging effects on complex cell learning
JP Lies, RM Häfner, M Bethge
PLoS computational biology 10 (3), e1003468, 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
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
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
Evaluating neuronal codes for inference using Fisher information
RM Haefner, M Bethge
Advances in neural information processing systems, 1993-2001, 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
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