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The combination of PCNN and non-downsampling has proven to be an effective method for not only reducing the amount of time required for processing, but also significantly improving the overall efficiency of the system. This approach has been widely adopted in various applications such as image recognition, speech processing, and natural language processing. In fact, recent studies have shown that this method provides better accuracy and performance compared to other traditional approaches. Therefore, it is safe to say that the integration of PCNN and non-downsampling is a powerful tool for enhancing the computational capabilities of various systems.