553 citations · 1.4k across the 41 of their papers we have counts for
4 papers · 1 filter
Statistical inference on representational geometries
Heiko H. Schütt, Alexander D. Kipnis, Jörn Diedrichsen +1
Neuroscience has recently made much progress, expanding the complexity of both neural-activity measurements and brain-computational models. However, we lack robust methods for conn…
Capturing the objects of vision with neural networks
Benjamin Peters, Nikolaus Kriegeskorte
Human visual perception carves a scene at its physical joints, decomposing the world into objects, which are selectively attended, tracked, and predicted as we engage our surroundi…
Visualizing the geometry of labeled high-dimensional data with spheres
Andrew D Zaharia, Anish S Potnis, Alexander Walther +1
Data visualizations summarize high-dimensional distributions in two or three dimensions. Dimensionality reduction entails a loss of information, and what is preserved differs betwe…
Neural tuning and representational geometry
Nikolaus Kriegeskorte, Xue-Xin Wei
A central goal of neuroscience is to understand the representations formed by brain activity patterns and their connection to behavior. The classical approach is to investigate how…