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approaches, such as topology optimization, with gradient-free methods, such as genetic algorithm, in order to exploit the specific strengths of the two classes of algorithms, and through this reach an ideal
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patterns and insights from complex neural datasets. Develop and implement algorithms for preprocessing, spike sorting, and decoding neural signals. 2. Computational Modeling: Design and develop rate-based
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