Extended Data Fig. 6: Temporal tuning of neurons can explain diverse responses to gaze shifts.
From: A dynamic sequence of visual processing initiated by gaze shifts

a. Responses to flashed sparse noise stimulus presented with an inter-stimulus interval (ISI; n = 3 mice; early=71, late=33, biphasic=9, negative=7). Left: mean ± SEM for each cluster; right: individual neuron responses overlaid with mean. b. Same as a for a continuously flashed sparse noise stimulus. c. Schematic of modeling approach. A scalar stimulus, presented continuously or with an inter-stimulus interval (ISI), is passed through a variable temporal kernel of either high, intermediate, or low temporal frequency (TF), and a non-linearity is used to generate a spiking output. d. High TF kernel. e. Intermediate TF kernel. f. Low TF kernel. g. Resulting response of model using high TF kernel to visual stimuli presented with an ISI. h. Same as g for intermediate TF kernel. i. Same as g for low TF kernel. j. Resulting response of model using high TF kernel to visual stimuli presented continuously. k. Same as j for intermediate TF kernel. l. Same as j for low TF kernel.