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A number of new layer methods for solving the Neumann problem for semilinear parabolic equations are constructed by using probabilistic representations of their solutions. The methods exploit the ideas of weak-sense numerical integration of stochastic differential equations in a bounded domain. In spite of the probabilistic nature these methods are nevertheless deterministic. Some convergence theorems are proved. Numerical tests on the Burgers equation are presented