Integration and multiplexing of positional and contextual information by the hippocampal network
Fig 6
Distributions of positional errors in conflicting and coherent phases.
A. Distributions of positional errors in the decoded cognitive map during coherent/stable (red) and conflicting/unstable (blue) phases. The model predicts (left panel) that the mean error is significantly increased during conflicting periods, mirroring the dispersion of the neural representation induced by the conflicting input streams. The same phenomenology is observed in recordings (right panel). B. The over-dispersion of the neural code in the ‘correct’ cognitive state (reported in panel A) is caused by an increased precision of the positional representation in the ‘opposite’ map, i.e. the one where the bump is not localized. This effect is significant in the model, left panel, and in the recorded data, right panel. C, D. Same analysis after exclusion of flickering theta bins. E. The absolute value of the log-ratio , Eq (1), is significantly reduced during the conflicting phase, both in the model (left) and in the data (right panel;).
is a proxy for the completeness and stability of the bump (Methods). F Distributions of
in the test session during the conflicting (left, blue) and the coherent (right, red) phases, compared to the distribution in the two reference sessions (black contour, same as in Fig 2A).