Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning

Research article (Scientific Reports, 2020) · cited 26× · AI/ML
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Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning

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Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning. Retrieved May 24, 2026, from https://4ort.xyz/entity/comparing-feedforward-and-recurrent-neural-network-architectures-with-human-behavior-in-artificial-grammar-learning
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BibTeX @misc{4ortxyz_comparing-feedforward-and-recurrent-neural-network-architectures-with-human-behavior-in-artificial-grammar-learning_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Comparing feedforward and recurrent neural network architectures with human behavior in artificial grammar learning}}, year = {2026}, url = {https://4ort.xyz/entity/comparing-feedforward-and-recurrent-neural-network-architectures-with-human-behavior-in-artificial-grammar-learning}, note = {Accessed: 2026-05-24}}
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