Difference between revisions of "Human brain"
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| − | ===Comparison to computer | + | =Understanding= |
| + | * [https://arxiv.org/abs/2501.02950 Key-value memory in the brain] | ||
| + | |||
| + | =Computational Analysis= | ||
| + | ==Comparison to computer== | ||
* [https://arxiv.org/abs/2208.12032 How (and Why) to Think that the Brain is Literally a Computer] | * [https://arxiv.org/abs/2208.12032 How (and Why) to Think that the Brain is Literally a Computer] | ||
* [https://www.nature.com/articles/s42256-024-00925-4 Contextual feature extraction hierarchies converge in large language models and the brain] ([https://techxplore.com/news/2024-12-llms-brain-advance.html LLMs are becoming more brain-like as they advance]) | * [https://www.nature.com/articles/s42256-024-00925-4 Contextual feature extraction hierarchies converge in large language models and the brain] ([https://techxplore.com/news/2024-12-llms-brain-advance.html LLMs are becoming more brain-like as they advance]) | ||
| − | + | ==Biological vs. artificial neuron== | |
* [https://www.sciencedirect.com/science/article/pii/S0896627321005018 Single cortical neurons as deep artificial neural networks]: Each biological neuron can be simulated using DNN of 5-8 layers | * [https://www.sciencedirect.com/science/article/pii/S0896627321005018 Single cortical neurons as deep artificial neural networks]: Each biological neuron can be simulated using DNN of 5-8 layers | ||
* [https://arxiv.org/abs/2305.12471 Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network] | * [https://arxiv.org/abs/2305.12471 Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network] | ||
| − | + | ==Data processing== | |
* [https://www.sciencedirect.com/science/article/pii/S1364661313001277 Representational geometry: integrating cognition, computation, and the brain] | * [https://www.sciencedirect.com/science/article/pii/S1364661313001277 Representational geometry: integrating cognition, computation, and the brain] | ||
* [https://www.nature.com/articles/s41586-024-07522-w Language is primarily a tool for communication rather than thought] | * [https://www.nature.com/articles/s41586-024-07522-w Language is primarily a tool for communication rather than thought] | ||
* [https://www.openread.academy/en/paper/reading?corpusId=513306465 The Unbearable Slowness of Being: Why do we live at 10 bits/s?] ([https://arxiv.org/abs/2408.10234 preprint]) | * [https://www.openread.academy/en/paper/reading?corpusId=513306465 The Unbearable Slowness of Being: Why do we live at 10 bits/s?] ([https://arxiv.org/abs/2408.10234 preprint]) | ||
| + | |||
| + | ==Extract manifold/geometry== | ||
| + | * [https://www.science.org/doi/10.1126/science.adk8261 Selection of experience for memory by hippocampal sharp wave ripples] | ||
| + | |||
| + | =Comparisons= | ||
| + | * 2024-05: [https://arxiv.org/abs/2405.02325 Are Biological Systems More Intelligent Than Artificial Intelligence?] | ||
| + | |||
| + | =Simulate Brain= | ||
| + | * 2023-09: [https://spj.science.org/doi/10.34133/icomputing.0055 The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence] | ||
| + | * 2024-12: [https://www.nature.com/articles/s43588-024-00731-3 Simulation and assimilation of the digital human brain] ([https://arxiv.org/abs/2211.15963 preprint], [https://github.com/DTB-consortium/Digital_twin_brain-open code]) | ||
| + | * 2024-12: [https://arxiv.org/abs/2412.19814 Predicting Human Brain States with Transformer] | ||
| + | |||
| + | =Bio-brain Inspirations for AI= | ||
| + | * 2025-01: [https://arxiv.org/abs/2501.16396 TopoNets: High Performing Vision and Language Models with Brain-Like Topography] | ||
Latest revision as of 09:59, 30 January 2025
Contents
Understanding
Computational Analysis
Comparison to computer
- How (and Why) to Think that the Brain is Literally a Computer
- Contextual feature extraction hierarchies converge in large language models and the brain (LLMs are becoming more brain-like as they advance)
Biological vs. artificial neuron
- Single cortical neurons as deep artificial neural networks: Each biological neuron can be simulated using DNN of 5-8 layers
- Mapping Biological Neuron Dynamics into an Interpretable Two-layer Artificial Neural Network
Data processing
- Representational geometry: integrating cognition, computation, and the brain
- Language is primarily a tool for communication rather than thought
- The Unbearable Slowness of Being: Why do we live at 10 bits/s? (preprint)
Extract manifold/geometry
Comparisons
Simulate Brain
- 2023-09: The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence
- 2024-12: Simulation and assimilation of the digital human brain (preprint, code)
- 2024-12: Predicting Human Brain States with Transformer
