Phase transition in sparse associative neural networks
We study the phenomenon of phase transition occurring in sparse associative neural networks, which is characterized by the abrupt emergence of associative properties with the growth of network connectivity. It is shown that this discontinuous behaviour is caused by the specific way of architecture selection. Based on empirical results the relationship among critical parameters is suggested.