Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay | ScienceToStartup | ScienceToStartup

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References (95)

[1]

Sufficient conditions for offline reactivation in recurrent neural networks

2025Nanda H Krishna, C. Bredenberg et al.

[2]

Dynamics of Adaptive Continuous Attractor Neural Networks

2024Yujun Li, Tianhao Chu et al.

[3]

Learning grid cells by predictive coding

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"Exploring second-order dynamics and state leakage in RNNs to enhance hippocampal-like replay for complex path integration tasks."

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Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay

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Founder's Pitch

"Exploring second-order dynamics and state leakage in RNNs to enhance hippocampal-like replay for complex path integration tasks."

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Leakage and Second-Order Dynamics Improve Hippocampal RNN Replay

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Founder's Pitch

"Exploring second-order dynamics and state leakage in RNNs to enhance hippocampal-like replay for complex path integration tasks."

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