553 citations · 1.4k across the 41 of their papers we have counts for
4 papers · 1 filter
Source Invariance and Probabilistic Transfer: A Testable Theory of Probabilistic Neural Representations
Samuel Lippl, Raphael Gerraty, John Morrison +1
As animals interact with their environments, they must infer properties of their surroundings. Some animals, including humans, can represent uncertainty about those properties. But…
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…
How to optimize neuroscience data utilization and experiment design for advancing brain models of visual and linguistic cognition?
Greta Tuckute, Dawn Finzi, Eshed Margalit +8
In recent years, neuroscience has made significant progress in building large-scale artificial neural network (ANN) models of brain activity and behavior. However, there is no cons…