553 citations · 592 across the 7 of their papers we have counts for
15 papers
Distinguishing representational geometries with controversial stimuli: Bayesian experimental design and its application to face dissimilarity judgments
Tal Golan, Wenxuan Guo, Heiko H. Schütt +1
Comparing representations of complex stimuli in neural network layers to human brain representations or behavioral judgments can guide model development. However, even qualitativel…
The neuroconnectionist research programme
Adrien Doerig, Rowan Sommers, Katja Seeliger +8
Artificial Neural Networks (ANNs) inspired by biology are beginning to be widely used to model behavioral and neural data, an approach we call neuroconnectionism. ANNs have been la…
Inferring exemplar discriminability in brain representations
Hamed Nili, Alexander Walther, Arjen Alink +1
Representational distinctions within categories are important in all perceptual modalities and also in cognitive and motor representations. Recent pattern-information studies of br…
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…