Reservoir computing model of prefrontal cortex creates novel combinations of previous navigation sequences from hippocampal place-cell replay with spatial reward propagation
Fig 2
Place-cell and snippet coding.
Panel A represents the place-cell activations that correspond to a single point. Place-cell centers are represented by red points and the mean firing rate of each place-cell by a red circle with a fixed radius, centered on the place-cell center. The transparency level of the circle represents the magnitude of the mean firing rate. Panel B depicts the ABCED trajectory, and a snippet randomly drawn along the trajectory. The snippet length is s = 5. Panel C represents the snippet replay likelihood as learnt by the Hippocampal replay model by propagation of reward from rewarded locations at ABCE and D. Panel D represents the raster of the place-cell activation along the ABCED trajectory. The time index where feeders A,B,C,D and E are encountered during the ABCED trajectory are tagged above the raster and represented by a thin white vertical line. The snippet represented in panel B is emphasized by a blue rectangle in panel D. Panel E represents the spatial extent of the snippet replay likelihood. F illustrates part of a typical random replay episode, where multiple snippets from remote locations are replayed.