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. Author manuscript; available in PMC: 2014 Jan 1.
Published in final edited form as: Hippocampus. 2012 Jun 27;23(1):22–29. doi: 10.1002/hipo.22049

Figure 4.

Figure 4

A Bayesian decoding algorithm was used to estimate spatial trajectories represented by firing sequences. The top panel shows decoding as a subject runs a trajectory around the track. The peak of the decoded posterior distribution for each time step (top left) matches the animal’s position each moment in time. Similarly, decoded position tracks actual location well (top right). The bottom panel displays the mean decoded posterior distribution for each position in space within the run-theta epoch. Food delivery locations are marked with white lines. Decoded probability is concentrated along the diagonal, indicating accurate spatial decoding.