Difference between revisions of "Human brain"
KevinYager (talk | contribs) (→Brain signal decoding) |
KevinYager (talk | contribs) (→Comparisons) |
||
| (3 intermediate revisions by the same user not shown) | |||
| Line 8: | Line 8: | ||
* 2024-12: [https://e11.bio/news/roadmap A roadmap to scale connectomics to entire mammalian brains] | * 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]) | ||
| + | * 2025-08: [https://www.nature.com/articles/s41586-025-08985-1 Light-microscopy-based connectomic reconstruction of mammalian brain tissue] ([https://research.google/blog/a-new-light-on-neural-connections/ blog]) | ||
==Brain signal decoding== | ==Brain signal decoding== | ||
| Line 21: | Line 22: | ||
* 2025-02: Meta: [https://ai.meta.com/research/publications/from-thought-to-action-how-a-hierarchy-of-neural-dynamics-supports-language-production/ From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production] | * 2025-02: Meta: [https://ai.meta.com/research/publications/from-thought-to-action-how-a-hierarchy-of-neural-dynamics-supports-language-production/ From Thought to Action: How a Hierarchy of Neural Dynamics Supports Language Production] | ||
* 2025-03: Google: [https://research.google/blog/deciphering-language-processing-in-the-human-brain-through-llm-representations/ Deciphering language processing in the human brain through LLM representations] | * 2025-03: Google: [https://research.google/blog/deciphering-language-processing-in-the-human-brain-through-llm-representations/ Deciphering language processing in the human brain through LLM representations] | ||
| + | * 2025-03: [https://www.nature.com/articles/s41593-025-01905-6 A streaming brain-to-voice neuroprosthesis to restore naturalistic communication] | ||
=Computational Analysis= | =Computational Analysis= | ||
| Line 32: | Line 34: | ||
==Data processing== | ==Data processing== | ||
| + | * [https://pmc.ncbi.nlm.nih.gov/articles/PMC1564115/ How Much the Eye Tells the Brain] | ||
* [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] | ||
| Line 45: | Line 48: | ||
** 2024-03: [https://www.nature.com/articles/s41467-024-46631-y Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns] | ** 2024-03: [https://www.nature.com/articles/s41467-024-46631-y Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns] | ||
** 2025-03: [https://www.nature.com/articles/s41562-025-02105-9 A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations] | ** 2025-03: [https://www.nature.com/articles/s41562-025-02105-9 A unified acoustic-to-speech-to-language embedding space captures the neural basis of natural language processing in everyday conversations] | ||
| + | * 2025-05: [https://ai.meta.com/research/publications/emergence-of-language-in-the-developing-brain/ Emergence of Language in the Developing Brain] | ||
=Simulate Brain= | =Simulate Brain= | ||
Latest revision as of 09:13, 15 May 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)
- 2025-08: Light-microscopy-based connectomic reconstruction of mammalian brain tissue (blog)
Brain signal decoding
- 2022-11: High-resolution image reconstruction with latent diffusion models from human brain activity
- 2023-08: Music can be reconstructed from human auditory cortex activity using nonlinear decoding models (intracranial EEG)
- 2023-09: DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation (external EEG)
- 2023-09: BrainLM: A foundation model for brain activity recordings
- 2023-10: Toward a real-time decoding of images from brain activity (MEG)
- 2024-06: PAM: Predictive Attention Mechanism for Neural Decoding of Visual Perception
- 2024-07: Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data
- 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
- 2025-03: A streaming brain-to-voice neuroprosthesis to restore naturalistic communication
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
- How Much the Eye Tells the Brain
- 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
- 2025-05: Emergence of Language in the Developing Brain
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
