Extended Data Fig. 6: Individual variability across mice in the degree of CDDelay reorganization across task contexts.
From: A combinatorial neural code for long-term motor memory
a. Data from Fig. 3g, but broken out by individual mice, sorted by mean decoding accuracy across task contexts (train context 1 and test context 2). Individual mice are plotted separately in different colors. b. Dot product between CDDelay within the same task context (left) and across different task contexts (right). Individual mice are sorted by mean dot product of CDDelay across task contexts. Same color scheme as a. Note that variability across mice is much higher than variability across FOVs within the same mouse. Numbers in brackets indicate pairs of sessions for each mouse. c. Left, decoding accuracy of the CDDelay, CDSample, and CDResponse across task contexts. Right, decoding accuracy of the CDDelay, normalized by that of CDSample and CDResponse. Arrows indicate two outlier data points (y-axis values, 1.93 and 2.23). d-e. Same as Fig. 3f (top), but data from an example FOV of a mouse with stable CDDelay across task contexts (c, JH118; see a-b) and a mouse with reversed CDDelay (d, JH123; see a-b). f. Displacement of x and y jaw positions in task contexts 1 and 2 from two example mice. Mean ± SD across trials. g. No relationship between decoding accuracy of CDDelay across task contexts (x axis) versus 7 parameters (y axis) as follows: delta days between imaging sessions; matched number of neurons co-registered across imaging sessions; number of correct trials from task context 1; behavior performance from task context 1; relative learning speed to reach 75% behavior performance (number of trials to reach criterion performance in task context 2 relative to task context 1); relative AP location of imaging FOVs after subtracting mean AP location of each mouse; relative ML location of imaging FOVs after subtracting mean ML location of each mouse.
