Research map / Architectures and efficiency / RNNs and normalization
Credit Assignment via Neural Manifold Noise Correlation
Read the paperCheck your idea against 108,967 papers
AI-extracted summary. Written by AI from the paper's title only (no summary yet). Numbers and claims can be wrong or missing context, so check the paper before you cite or build on it.
Closest papers by meaning
- Credit Assignment in Neural Networks through Deep Feedback Control (NeurIPS 2021 · similarity 0.88)
- Biological credit assignment through dynamic inversion of feedforward networks (NeurIPS 2020 · similarity 0.87)
- Minimizing Control for Credit Assignment with Strong Feedback (ICML 2022 · similarity 0.87)
- Estimating Dimensionality of Neural Representations from Finite Samples (ICLR 2026 · similarity 0.86)
- Feedback control guides credit assignment in recurrent neural networks (NeurIPS 2024 · similarity 0.85)
- Scaling Laws and Tradeoffs in Recurrent Networks of Expressive Neurons (NeurIPS 2026 · similarity 0.84)
Writing a paper in this area? scime draft is a free LaTeX editor with AI included, real-time co-authors and a check of your references and venue rules before you submit. It also imports OpenAI Prism projects.
