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. 2024 Apr 17;629(8011):393–401. doi: 10.1038/s41586-024-07309-z

Extended Data Fig. 7. SFC and theta phase shift analysis for PAC neurons.

Extended Data Fig. 7

(a) PAC neurons were not selective for category in hippocampus (left) and amygdala (right). Even during encoding, category could not be efficiently decoded from FR of “PAC only” neurons (all other p = 0.001, right-sided permutation test). Decoding performance is shown as mean ± s.d. across 1,000 decoding repetitions. Black horizontal lines indicate mean decoding of 1,000 randomly shuffled category labels (chance level). Decoding was performed for pseudo-populations of category or PAC neurons, respectively. (b,c) Theta and gamma SFC between PAC neurons and local LFP recordings did not differ as a function of load in (b) the hippocampus (theta: t(78) = −1.54, p = 0.13; gamma: t(78) = −1.12, p = 0.27, n = 79), or (c) the amygdala (theta: t(162) = −0.71, p = 0.47; gamma: t(162) = 0.76, p = 0.45, n = 163). Theta and gamma SFC, however, were both significantly stronger than shuffled surrogates in both areas (all p = 0.0001). Each dot is a neuron-channel combination. In (a,b), we performed two-sided permutation-based t-tests and centre values denote mean ± s.e.m. (d) The preferred theta phase of PAC neurons did not differ significantly as a function of load in both areas of the MTL. Red bars show the mean difference in preferred theta phases between load 1 and 3 across all PAC neurons. *** p < 0.001; ns = not significant.