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We simulate and analyze dynamical phase transitions in a Boolean neural network with initial random connections. Since we treat a stochastic evolution by using a noise intensity, we show from our condition that there exists a critical value for the noise intensity. The nature of the phase transition are found numerically and analytically in two connections of probability density function and one random network.doi:10.1016/j.procs.2014.05.235 fatcat:uqj5x3dc2jdt3kfehsgr27m4we