Difference between revisions of "Human brain"

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===Comparison to computer===
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=Understanding=
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* [https://arxiv.org/abs/2501.02950 Key-value memory in the brain]
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* [https://helper.ipam.ucla.edu/publications/mac2024/mac2024_20152.pdf The cost of brain state transitions]
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==Brain mapping==
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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])
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* 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
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* 2024-12: [https://e11.bio/news/roadmap A roadmap to scale connectomics to entire mammalian brains]
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* 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])
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==Brain signal decoding==
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* 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]
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* 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)
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* 2023-09: [https://arxiv.org/abs/2309.14030 DeWave: Discrete EEG Waves Encoding for Brain Dynamics to Text Translation] (external EEG)
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* 2023-09: [https://www.biorxiv.org/content/10.1101/2023.09.12.557460v1 BrainLM: A foundation model for brain activity recordings]
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* 2023-10: [https://ai.meta.com/blog/brain-ai-image-decoding-meg-magnetoencephalography/ Toward a real-time decoding of images from brain activity] (MEG)
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* 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]
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* 2024-07: [https://arxiv.org/abs/2407.07595 Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data]
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* 2024-12: [https://arxiv.org/abs/2412.19814 Predicting Human Brain States with Transformer]
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* 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]
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* 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]
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* 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]
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=Computational Analysis=
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==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]
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* [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])
  
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===Biological vs. artificial neuron===
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==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]
  
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===Data processing===
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==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])
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==Extract manifold/geometry==
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* [https://www.science.org/doi/10.1126/science.adk8261 Selection of experience for memory by hippocampal sharp wave ripples]
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=Comparisons=
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* 2024-05: [https://arxiv.org/abs/2405.02325 Are Biological Systems More Intelligent Than Artificial Intelligence?]
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* 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]
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** 2022-03: [https://www.nature.com/articles/s41593-022-01026-4 Shared computational principles for language processing in humans and deep language models]
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** 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]
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** 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]
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=Simulate Brain=
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* 2023-09: [https://spj.science.org/doi/10.34133/icomputing.0055 The Digital Twin Brain: A Bridge between Biological and Artificial Intelligence]
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* 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])
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* 2024-12: [https://arxiv.org/abs/2412.19814 Predicting Human Brain States with Transformer]
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=Bio-brain Inspirations for AI=
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* 2025-01: [https://arxiv.org/abs/2501.16396 TopoNets: High Performing Vision and Language Models with Brain-Like Topography]
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=See Also=
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* [[AI_and_Humans#Simulate_Humans|LLM Simulate Humans]]

Latest revision as of 11:00, 10 April 2025

Understanding

Brain mapping

Brain signal decoding

Computational Analysis

Comparison to computer

Biological vs. artificial neuron

Data processing

Extract manifold/geometry

Comparisons

Simulate Brain

Bio-brain Inspirations for AI

See Also

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