tuning curves

mouse over points to see responses

Mass univariate tuning curve analyses describe individual voxels as tuned to particular stimulus attributes. In this data set, moving stimuli of 12 different directions were presented, and the analysis assesses the tuning of each voxel to those directions. Estimating tuning requires two steps: a regression analysis to estimate the response to each orientation, and a calculation of preferred direction and tuning width. In the visualization, color represents preferred direction, brightness represents strength of the response, and saturation represents how peaked the tuning is. Regions represent example neurons; mouse over them to see the neuron's time course. Note that the image is a maximum projection across different depths, whereas the regions were defined on a single plane, so no may correspond exactly to the neurons in the image.