Fig. 6: Remapping.

Sets consisting of five different rooms (a) and mazes (b) are used to study activity remapping. In set a, the five rooms share 25 different observations, arranged randomly, and in set b, the five mazes share six observations arranged in geometrical shapes. Different shades of red represent different observations. Row (i): inferred probability (Y-axis) of being in a room/maze as a function of time (X-axis). Rows (ii)–(iv) Clone activity traces for a random walk of 50 steps each in rooms (mazes) 1–5 under different conditions (partially trained, fully trained, and more uncertainty). All traces are based on the same random walk and use the same clone ordering. Activity traces corresponds to global remapping in a partially trained CSCG, and partial remapping in a partially trained CSCG. Adding more uncertainty to a fully trained CSCG produces activity traces that correspond to rate remapping.