AHV is widespread in cortical circuits
(A) (Left) Mouse is rotated 180° back and forth in CW and CCW directions and at different rotation speeds. Map of the mouse dorsal cortex with the major cortical areas color coded (Kirkcaldie, 2012). Trapezoid outline indicates the size of the implanted large cranial windows. Gray boxes indicate the typical size of an imaging FOV. (Middle) Trapezoid cranial window centered on the central sinus with 4 example FOVs. (Right) Example two-photon image of a FOV from secondary motor cortex (M2) and RSC. Cell bodies are outlined.
(B) (Left column) The percentage of rotation-selective (top) and AHV-tuned cells (bottom) across different cortical areas (average ± SEM). The baseline indicates chance level. (Right column) Statistical comparison between cortical areas (asterisk indicates pairwise comparisons with p < 0.05, Wilcoxon-Mann-Whitney test). Numbers of cells and mice recorded per area are as follows: V1, 2,463 cells from 8 mice; V2, 4,529 cells from 10 mice; RSC, 4,928 cells from 10 mice; PPC, 1,044 cells from 4 mice; M1+M2, 2,483 cells from 7 mice; and S1, 3,356 cells from 9 mice.
(C) The percentage of rotation-selective (left) and AHV-tuned cells (right) mapped onto the mouse dorsal cortex.
(D) Example AHV tuning curves obtained using the LNP model from two example areas M1+M2 and V1.
(E) The AHV decoding error (average ± SEM) as a function of actual rotation velocity, for each of the cortical areas, by using the LNP model.
(F) The decoding error as a function of the number of random neurons used for decoding.