Storage of spatially correlated patterns in autoassociative memories

The effects of spatially organised data on autoassociative neural networks are investigated in the optimal storage case. An analytical study is possible for weak spatial correlations. It predicts an increasing of the storage capacity α c and ferromagnetic means for the couplings. Numerical simulations confirm these results for large spatial correlations