Place cells on a maze encode routes rather than destinations
- University of Stirling, United Kingdom
- Edinburgh Medical School: Biomedical Sciences, University of Edinburgh, United Kingdom
Figures
Figure 1
Maze apparatus with two routes leading to the same goal.
(A) Top down view of the maze apparatus showing its layout including the start box, the three goal boxes, and the alleyways and choice points linking them. (B) The four trained routes through the …
Figure 2
Acquisition of the win-stay task.
(A) The mean number of errors preceding the identification of the reinforced goal box in each block of trials (broken line) did not change significantly across training sessions. However, the number …
Figure 3 with 1 supplement
Differential firing throughout the maze.
(A) Heat map showing the position of every place field recorded on the maze apparatus, the corresponding colour axis is shown in the top left corner. Place cells over-represented the start of the …
Figure 3—figure supplement 1
Diagram of parameters used in all ANCOVA analyses.
(A) All trajectories from a representative recording session. Paths are coloured according to the rat’s final destination, and this colour scheme is maintained in the panels below. (B) An enlarged …
Figure 4 with 2 supplements
Four representative place cells, two per row, which show differential firing in the start box of the maze.
For each cell, the firing rate map for the session is shown, but with data divided into trials in which the animals took each of the four possible routes. The area of this map in which differential …
Figure 4—figure supplement 1
Representative differential cells included in the route/goal analysis.
Three example cells are given per row. For each cell, the firing rate map for the session is shown, but with data divided into the four possible trajectories. The area of this map in which …
Figure 4—figure supplement 2
Four examples of differential firing on all trials within a session.
The firing rate (black bars) and the velocity (black line) of each cell in the highlighted maze segment(s ) is plotted for each trajectory in a given session. Note that this firing is generally …
Figure 5
Distribution of place cells with differential firing.
(A) Number of differential cells in the start box and central stem of the maze, sorted by preferred route. (B) Number of differential cells in left and right arms of the maze, again sorted by …
Figure 6
Population characteristics and signal quality measures and their impact on rANCOVA outcome.
(A) Density plot showing firing rate plotted against width of waveform for every cluster (n = 641) in our population. Our cut-offs for characterising units as pyramidal cells are shown as white …
Figure 7 with 1 supplement
Ensemble decoding of trajectories (routes).
The colour bar for plots (A–C) is given to the right of (C), the colour bar for (E) and (F) is given to the right of (F). (B) Trajectory population vectors (PVs) were compared to session PVs and …
Figure 7—figure supplement 1
Analysis of ensemble decoding within blocks of trials.
When the firing rates of specific trajectories within blocks of trials were compared to their goal population vector, no significant increase or decrease in the number of correct matches (left …
Figure 8
Place cell coding of the Centre Goal Box.
(A) A representative cell which fires similarly in the Centre Goal Box regardless of which route the animal took to get there. The firing rate map for a whole maze session is shown. This is divided …
Figure 9
Histological confirmation of electrode placement.
(A) Coronal section of hippocampus with electrode track (inset: higher magnification view). (B) Schematic of individual electrode tracks towards the CA1 cell layer of the hippocampus. Arrows …
Videos
Video 1
Example of a place cell that fires differentially in the start box of the maze.
https://doi.org/10.7554/eLife.15986.007Additional files
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Supplementary file 1
Analysis of differential firing using three different statistical methods.
- https://doi.org/10.7554/eLife.15986.017
