Difference between revisions of "Human brain"
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* 2024-05: [https://www.science.org/doi/10.1126/science.adk4858 A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution] ([https://www.nature.com/articles/d41586-024-01387-9#ref-CR1 media summary]) | * 2024-05: [https://www.science.org/doi/10.1126/science.adk4858 A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution] ([https://www.nature.com/articles/d41586-024-01387-9#ref-CR1 media summary]) | ||
| + | * 2024-10: [https://www.nature.com/articles/s41586-024-07558-y Neuronal wiring diagram of an adult brain] ([https://www.nytimes.com/2024/10/02/science/fruit-fly-brain-mapped.html media summary]); 140,000 neurons in fruit fly brain | ||
| + | * 2024-12: [https://e11.bio/news/roadmap A roadmap to scale connectomics to entire mammalian brains] | ||
* 2025-04: [https://www.nature.com/articles/s41586-025-08840-3 Functional connectomics reveals general wiring rule in mouse visual cortex] ([https://www.nature.com/articles/d41586-025-01088-x?utm_source=x&utm_medium=social&utm_campaign=nature&linkId=13897098 media summary]) | * 2025-04: [https://www.nature.com/articles/s41586-025-08840-3 Functional connectomics reveals general wiring rule in mouse visual cortex] ([https://www.nature.com/articles/d41586-025-01088-x?utm_source=x&utm_medium=social&utm_campaign=nature&linkId=13897098 media summary]) | ||
Revision as of 10:53, 10 April 2025
Contents
Understanding
Brain mapping
- 2024-05: A petavoxel fragment of human cerebral cortex reconstructed at nanoscale resolution (media summary)
- 2024-10: Neuronal wiring diagram of an adult brain (media summary); 140,000 neurons in fruit fly brain
- 2024-12: A roadmap to scale connectomics to entire mammalian brains
- 2025-04: Functional connectomics reveals general wiring rule in mouse visual cortex (media summary)
Brain signal decoding
- 2024-12: Predicting Human Brain States with Transformer
- 2025-02: Meta: Brain-to-Text Decoding: A Non-invasive Approach via Typing
- 2025-02: Meta: From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production
- 2025-03: Google: Deciphering language processing in the human brain through LLM representations
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
- 2024-05: Are Biological Systems More Intelligent Than Artificial Intelligence?
- 2025-03: Google: Deciphering language processing in the human brain through LLM representations
- 2022-03: Shared computational principles for language processing in humans and deep language models
- 2024-03: Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
- 2025-03: A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations
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
