Reservoir computing model of prefrontal cortex creates novel combinations of previous navigation sequences from hippocampal place-cell replay with spatial reward propagation
Fig 4
Panel A illustrates a long convoluted trajectory taken by a rat in configuration 38. Panel B illustrates the probability maps of trajectories generated by the trained model in autonomous sequence generation mode. The 2D trajectory histogram is generated by superposing the trajectories generated when 10 batches of 100 reservoirs each were trained and each model instance was evaluated 10 times with noise. Note that there are two locations where the trajectory crosses itself. At the point of crossing, there are two possible paths that preserve path continuity. The system has memory of the context of how it got to that intersection point, and thus can continue on that trajectory. This illustrates that the model is well able to learn such complex sequences.