Preventing Neurodegenerative Memory Loss in Hopfield Neuronal Networks Using Cerebral Organoids or External Microelectronics

Figure 8

Performance for Hopfield networks encoded with optimal memory sets (dashed lines) and nonoptimal memory sets (solid lines). Original network performance increases with more auxiliary network feedback at low noise levels. For small initial noise levels (10%–30%), the original networks receiving more feedback from their auxiliary network show higher performance across all damage levels. For large noise levels (40%), the input from the auxiliary network impedes performance. The large auxiliary network increases performance at a given noise and damage level more than the small auxiliary network. The nonoptimal network performs worse than the optimal network at all damage levels and displays the same trends as the optimal network.