Author

Ralf Wimmer

Tufts University

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Neuroscience· 1

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Approach:machine learning (classical)· 1 Approach:statistical model· 1

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Michael M. HalassaiD· 1 shared Mohamad Altrabulsi· 1 shared Wenqi XuiD· 1 shared Xiaohan ZhangiD· 1 shared Zhe Sage CheniD· 1 shared

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Michael M. HalassaORCID

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1 paper

Recent·Most cited

Multiplicative couplings facilitate rapid learning and information gating in recurrent neural networks

Xiaohan Zhang, Mohamad Altrabulsi, Wenqi Xu, Ralf Wimmer, Michael M. Halassa, Zhe Sage Chen

This paper introduces a multiplicative coupling mechanism between RNN and FNN architectures to enhance learning speed and information gating in neural networks.

bioRxiv · Jul 11, 2025 · PreprintNeuroscience