Research map / Architectures and efficiency / Attention and transformers
Artificial Hippocampus Networks for Efficient Long-Context Modeling
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
- Training biologically plausible recurrent neural networks on cognitive tasks with long-term dependencies (NeurIPS 2023 · similarity 0.88)
- HippoTune: A Hippocampal Associative Loop–Inspired Fine-Tuning Method for Continual Learning (ICLR 2026 · similarity 0.87)
- HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models (NeurIPS 2024 · similarity 0.86)
- Proteus: Incremental Memory Activation for Long-Context Sequence Modeling (NeurIPS 2026 · similarity 0.85)
- Recurrent neural networks: vanishing and exploding gradients are not the end of the story (NeurIPS 2024 · similarity 0.85)
- Recurrent neural network dynamical systems for biological vision (NeurIPS 2024 · similarity 0.85)
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.
