7 citations · 19 across the 5 of their papers we have counts for
5 papers
Generative Adversarial Collaborations: A practical guide for conference organizers and participating scientists
Gunnar Blohm, Benjamin Peters, Ralf Haefner +6
Generative adversarial collaborations (GACs) are a form of formal teamwork between groups of scientists with diverging views. The goal of GACs is to identify and ultimately resolve…
How does the primate brain combine generative and discriminative computations in vision?
Benjamin Peters, James J. DiCarlo, Todd Gureckis +10
Vision is widely understood as an inference problem. However, two contrasting conceptions of the inference process have each been influential in research on biological vision as we…
A probabilistic population code based on neural samples
Sabyasachi Shivkumar, Richard D. Lange, Ankani Chattoraj +1
Sensory processing is often characterized as implementing probabilistic inference: networks of neurons compute posterior beliefs over unobserved causes given the sensory inputs. Ho…
A note on choice and detect probabilities in the presence of choice bias
Ralf M. Haefner
Recently we have presented the analytical relationship between choice probabilities, noise correlations and read-out weights in the classical feedforward decision-making framework…
The implications of perception as probabilistic inference for correlated neural variability during behavior
Ralf M. Haefner, Pietro Berkes, József Fiser
This paper addresses two main challenges facing systems neuroscience today: understanding the nature and function of a) cortical feedback between sensory areas and b) correlated va…