Difference between revisions of "Human brain"
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==Brain signal decoding== | ==Brain signal decoding== | ||
| + | * 2022-11: [https://www.biorxiv.org/content/10.1101/2022.11.18.517004v2.full.pdf High-resolution image reconstruction with latent diffusion models from human brain activity] | ||
| + | * 2023-08: [https://journals.plos.org/plosbiology/article?id=10.1371/journal.pbio.3002176%20 Music can be reconstructed from human auditory cortex activity using nonlinear decoding models] (intracranial EEG) | ||
| + | * 2023-09: [https://arxiv.org/abs/2309.14030 DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation] (external EEG) | ||
| + | * 2023-09: [https://www.biorxiv.org/content/10.1101/2023.09.12.557460v1 BrainLM: A foundation model for brain activity recordings] | ||
| + | * 2023-10: [https://ai.meta.com/blog/brain-ai-image-decoding-meg-magnetoencephalography/ Toward a real-time decoding of images from brain activity] (MEG) | ||
| + | * 2024-06: [https://www.biorxiv.org/content/10.1101/2024.06.04.596589v1.full.pdf PAM: Predictive Attention Mechanism for Neural Decoding of Visual Perception] | ||
| + | * 2024-07: [https://arxiv.org/abs/2407.07595 Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data] | ||
* 2024-12: [https://arxiv.org/abs/2412.19814 Predicting Human Brain States with Transformer] | * 2024-12: [https://arxiv.org/abs/2412.19814 Predicting Human Brain States with Transformer] | ||
* 2025-02: Meta: [https://ai.meta.com/research/publications/brain-to-text-decoding-a-non-invasive-approach-via-typing/ Brain-to-Text Decoding: A Non-invasive Approach via Typing] | * 2025-02: Meta: [https://ai.meta.com/research/publications/brain-to-text-decoding-a-non-invasive-approach-via-typing/ Brain-to-Text Decoding: A Non-invasive Approach via Typing] | ||
* 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= | ||
Latest revision as of 13:48, 11 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
- 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
- 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
