3 citations · 5 across the 5 of their papers we have counts for
5 papers
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…
Affinity-based Attention in Self-supervised Transformers Predicts Dynamics of Object Grouping in Humans
Hossein Adeli, Seoyoung Ahn, Nikolaus Kriegeskorte +1
The spreading of attention has been proposed as a mechanism for how humans group features to segment objects. However, such a mechanism has not yet been implemented and tested in n…
Inferring brain-computational mechanisms with models of activity measurements
Nikolaus Kriegeskorte, Jörn Diedrichsen
High-resolution functional imaging is providing increasingly rich measurements of brain activity in animals and humans. A major challenge is to leverage such data to gain insight i…