Resource Catalog

A software package for identifying cone photoreceptors in non-confocal adaptive optics images such as split detection. This software was primarily developed by Jianfei Liu, Andrei Volkov, and Johnny Tam, with research support from the Intramural Research Program of the National Institutes of Health, National Eye Institute. Additional details about the algorithms used can be found in the reference listed below.

The MEGco data set includes MEG responses in 18 participants to 8 color-calibrated stimuli and the color words “blue” and “green”, as described in the guide . Details of this data set are provided in Rosenthal et al (2020) and Hermann et al (Biorxiv 2020).

Data and code for Rosenthal et al, Color Space Geometry Uncovered with Magnetoencephalography, Current Biology (2021).

Using multivariate analyses of magnetoencephalography data, we show that hue and luminance-contrast polarity can be decoded from MEG data and, with lower accuracy, both features can be decoded across changes in the other feature.

A software package for segmenting the boundaries of cone photoreceptors in non-confocal adaptive optics images such as split detection. This software was primarily developed by Jianfei Liu, Andrei Volkov, and Johnny Tam, with research support from the Intramural Research Program of the National Institutes of Health, National Eye Institute. Additional details about the algorithms used can be found in the reference listed below.