Neuroscience-inspired approaches in AI, particularly memory and learning mechanisms inspired by biological brains
表格 3 results
| Name | Categories | Topics | References | Credibility | CreateDate | UpdateDate | Title | RelatedNotes | NavigationOrder | Eleventy | TemplateEngineOverride | Created |
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| 20260422_hipporag_neurobiologically_inspired_long_term_memory | paper_analysis | rag, knowledge_graph, multi_hop_reasoning, neuro_science, memory_mechanism | personalized_pagerank, musique, hotpotqa, 2wiki, natural_questions | 100 | | | HippoRAG: Neurobiologically Inspired Long-Term Memory for Large Language Models | | [object Object] | [object Object] | md | |
| 20260423_ai_reasoning_deep_learning_symbolic_neural | paper_analysis | reasoning, symbolic_reasoning, llm, knowledge_graph, neuro_science, cognitive_science | beihang_university | 100 | | | AI Reasoning in Deep Learning Era: From Symbolic AI to Neural Symbolic AI | attentive_reasoning_queries | [object Object] | [object Object] | md | |
| 20260604_pretraining_recurrent_networks_without_recurrence | paper_analysis | memory_mechanism, recurrent_neural_networks, llm, reinforce_learning, neuro_science | mit, supervised_memory_training, backpropagation_through_time | 100 | | | Pretraining Recurrent Networks without Recurrence | | [object Object] | [object Object] | md | |