For over two decades, interactions between brain regions have been measured in humans by asking how the univariate responses in different regions co-vary ('Functional …
EJ Allen, G St-Yves, Y Wu, JL Breedlove… - Nature …, 2022 - nature.com
Extensive sampling of neural activity during rich cognitive phenomena is critical for robust understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …
Although every life event is unique, there are considerable commonalities across events. However, little is known about whether or how the brain flexibly represents information about …
Representational similarity analysis of activation patterns has become an increasingly important tool for studying brain representations. The dissimilarity between two patterns is …
KB Schloss, CC Gramazio, AT Silverman… - IEEE transactions on …, 2018 - ieeexplore.ieee.org
To interpret data visualizations, people must determine how visual features map onto concepts. For example, to interpret colormaps, people must determine how dimensions of …
X Xiao, Q Dong, J Gao, W Men… - Journal of …, 2017 - Soc Neuroscience
Contemporary models of episodic memory posit that remembering involves the reenactment of encoding processes. Although encoding-retrieval similarity has been consistently …
Personally familiar faces are processed more robustly and efficiently than unfamiliar faces. The human face processing system comprises a core system that analyzes the visual …
Recent work has highlighted that many types of variables are represented in each neocortical area. How can these many neural representations be organized together without …