Deep recurrent neural networks for water hammer transient prediction and dynamic protection optimization in long distance pipelines. [PDF]
Dong R, Du J, Liu C.
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Neural dynamics of reversal learning in the prefrontal cortex and recurrent neural networks. [PDF]
Kim CM, Chow CC, Averbeck BB.
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Emergence of functionally differentiated structures via mutual information minimization in recurrent neural networks. [PDF]
Tomoda Y, Tsuda I, Yamaguti Y.
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The legacy and future of recurrent neural networks in personalized medicine: A reflection on the 2024 Nobel Physics Prize. [PDF]
Wittrup E +4 more
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Recurrent Neural Networks with Integrated Gradients Explanation for Predicting the Hysteresis Behavior of Shape Memory Alloys. [PDF]
Tymoshchuk D +4 more
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Sudden restructuring of memory representations in recurrent neural networks with repeated stimulus presentations. [PDF]
Howlett JR.
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Taming the chaos gently: a predictive alignment learning rule in recurrent neural networks. [PDF]
Asabuki T, Clopath C.
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Reductionist modeling of calcium-dependent dynamics in recurrent neural networks. [PDF]
Zeki M, Dag T.
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Convergence and stability analysis of recurrent neural networks for rapid structural damage assessment under seismic loads. [PDF]
Zeng F, Chen F, Yang Y, Zhang X.
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Performance Guarantees of Recurrent Neural Networks for the Subset Sum Problem. [PDF]
Wang Z, Liao W, Jin Y, Wang Z.
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