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. 2023 May 3;43(18):3353–3364. doi: 10.1523/JNEUROSCI.1939-22.2023

Figure 1.

Figure 1.

CA1 and mPFC ensembles signal current and previous locations; CA1 signals previous locations with greater accuracy than mPFC ensembles. A, B, CA1 support vector machines assessed the extent to which CA1 and mPFC population activity recorded in the goal arm signaled current (A) and past (B) locations. All eight CA1 and six of eight mPFC ensembles signaled current location with greater than chance accuracy (A, blue, p < 0.05; red, p ≥ 0.05, permutation testing). mPFC and CA1 current location decoding accuracy was statistically indistinguishable (Mann–Whitney U test; SVM, U = 31.0, p > 0.05). All eight CA1 and six of eight mPFC ensembles signaled past starting locations with greater than chance accuracy (B). CA1 decoded starting locations more accurately than mPFC (Mann–Whitney U test; SVM, U = 15.0, p < 0.05). C, CA1 and mPFC population vectors contained similar amounts of normalized information about the current location in the goal arm (NCA1 = 446 trials, NmPFC = 446 trials; Mann–Whitney U test; normalized goal arm information, U = 94 001.0, p > 0.05). D, mPFC population vectors contained less normalized information about previous start arms than CA1 population vectors (NCA1 = 446 trials, NmPFC = 446 trials; Mann–Whitney U test; normalized start arm information, U = 50 617.0, p < 0.05). Each dot represents one ensemble; gray horizontal lines correspond to the mean decoding accuracy (A, B). Each dot represents the normalized spatial information from a single population vector from one trial (C, D); *p < 0.05, N.S., Not significant (A–D).