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Several neural networks were developed in the Mathematica programming environment in order to test the results of Kim and Myung (1995), which claimed that the addition of temporal summation to a neural network facilitated a semantic priming effect. We replicated their results, removed temporal summation then found the same priming effect. With these simulations, Mathematica was shown to be a powerful environment for neural network development, exhibiting distinct advantages over other environments in terms of programming ease, flexibility of data structures and the assessment of network performance.
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