Fig. 6: Strength of phase precession is predictive of memory encoding and retrieval success.
From: Theta phase precession supports memory formation and retrieval of naturalistic experience in humans
a, Model comparisons for neural activity during the scene recognition task. Each bar shows a comparison between the full GLM model and reduced GLM models with or without (w/wo) a given predictor. A likelihood ratio bigger than 1 with a significant P value indicates a better model performance in explaining participants’ behaviour outcomes with the added predictor. The predictors considered are firing rate during encoding (Frencoding) and scene recognition (FrsceneRecog), and phase precession strength during encoding (rencoding) and scene recognition (rsceneRecog). b, Same as a, but for the time discrimination task. The predictors considered are firing rate during encoding (Frencoding) and time discrimination (FrtimeDiscrim), and phase precession strength during encoding (rencoding) and time discrimination (rtimeDiscrim). All the models in a and b consider all the recorded neurons in the MTL. c,d, Odds ratios for different predictors when predicting participants’ memory performance during scene recognition (c) and time discrimination (d). The vertical lines indicate the confidence intervals. The horizontal dashed line marks the chance level. The asterisks denote significance. e, For the winning model for scene recognition (indicated by the red box in a), the proportion of variance in the response variable (correct versus incorrect) explained by different groups of neurons is shown. Shown are R2 ratios of models built using all phase precession neurons during encoding (orange line), all phase precession neurons during scene recognition (blue line) and all non-phase-precession neurons (grey bars). The total numbers of neurons used for the GLM model for each group were balanced by random subsampling. To do so, the non-phase-precession neuron group was subsampled 100 times, each time selecting the same number of neurons as the number of phase precession neurons present during scene recognition. The dashed line indicates the chance level. f, Same as e, but for time discrimination. Shown is the proportion of variance in the behaviour explained by the winning model (indicated by the red box in b). Shown are model fit for all phase precession neurons selected during encoding (orange), all phase precession neurons selected during time discrimination (green) and all other neurons (grey, subsampled 100 times and each time with the same number of neurons as those selected during encoding). The dashed line indicates the chance level. *P < 0.05; **P < 0.01; ***P < 0.001 in a–d.
