Extended Data Fig. 7: Example processing of one training session neuron for Bayesian decoding.

a. For each frame, temporal neural activity is calculated and classified into rightward trials, leftward trials, or non-trial times. b. Temporal neural activity is binarized and non-trial times are removed. c. The per trial binarized neural activity rate is calculated for rightward and leftward trials. d. The spatial probability function is constructed for each cell. A Gaussian distribution is first generated for each spatial bin using the mean and standard deviation of the binarized neural activity rate. The overall distribution is normalized across binarized neural activity rate rows and this data is entered into the Bayesian decoder for each cell. See Supplementary Video 3 for example decoding across all cells.