Difference between revisions of "Human brain"

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=How Brain Works=
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==Predictive Coding==
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* 2005-04: [https://royalsocietypublishing.org/doi/10.1098/rstb.2005.1622?utm_source=chatgpt.com A theory of cortical responses]
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* 2014-09: [https://www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2014.00666/full Visual mismatch negativity: a predictive coding view]
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* 2015-01: [https://www.sciencedirect.com/science/article/pii/S089662731401099X Visual Areas Exert Feedforward and Feedback Influences through Distinct Frequency Channels]
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* 2016-11: [https://www.sciencedirect.com/science/article/pii/S0896627316306997 Mismatch Receptive Fields in Mouse Visual Cortex]
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* 2018-03: [https://www.nature.com/articles/s41598-018-21407-9 Frontal cortex function as derived from hierarchical predictive coding]
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* 2024-02: [https://www.sciencedirect.com/science/article/pii/S0149763423004426 The empirical status of predictive coding and active inference]
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=Understanding=
 
=Understanding=
 
* [https://arxiv.org/abs/2501.02950 Key-value memory in the brain]
 
* [https://arxiv.org/abs/2501.02950 Key-value memory in the brain]
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* 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])
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* 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])
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===Related===
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* [https://v2.virtualflybrain.org 3D visualization of adult fruit fly brain]
  
 
==Brain signal decoding==
 
==Brain signal decoding==
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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)
 
* 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]
 
* 2024-06: [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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* 2024-07: [https://arxiv.org/abs/2407.07595 Scaling Law in Neural Data: Non-Invasive Speech Decoding with 175 Hours of EEG Data] (EEG)
 
* 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]
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* 2025-01: [https://arxiv.org/abs/2501.15322v2 Scaling laws for decoding images from brain activity] (EEG)
 
* 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]
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* 2025-03: [https://www.nature.com/articles/s41593-025-01905-6 A streaming brain-to-voice neuroprosthesis to restore naturalistic communication]
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* 2025-08: [https://arxiv.org/abs/2508.11536 Language models align with brain regions that represent concepts across modalities]
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* 2025-09: [https://arxiv.org/abs/2508.18226 Disentangling the Factors of Convergence between Brains and Computer Vision Models] (fMRI and MEG)
  
 
=Computational Analysis=
 
=Computational Analysis=
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==Computational power of human brain==
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* 2020-09: Joe Carlsmith: [https://www.openphilanthropy.org/research/how-much-computational-power-does-it-take-to-match-the-human-brain/ How Much Computational Power Does It Take to Match the Human Brain?]
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==Comparison to computer==
 
==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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==Data processing==
 
==Data processing==
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* [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]
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=Comparisons=
 
=Comparisons=
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* 2023-08: [https://arxiv.org/abs/2308.08708 Consciousness in Artificial Intelligence: Insights from the Science of Consciousness]
 
* 2024-05: [https://arxiv.org/abs/2405.02325 Are Biological Systems More Intelligent Than Artificial Intelligence?]
 
* 2024-05: [https://arxiv.org/abs/2405.02325 Are Biological Systems More Intelligent Than Artificial Intelligence?]
 
* 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]
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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]
 
** 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]
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* 2025-05: [https://ai.meta.com/research/publications/emergence-of-language-in-the-developing-brain/ Emergence of Language in the Developing Brain]
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==Analogies==
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* 2025-08: [https://arxiv.org/abs/2508.11536 Language models align with brain regions that represent concepts across modalities]
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===Speed-accuracy trade-off vs. Inference-compute===
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* 2007: [https://psycnet.apa.org/doi/10.1037/0096-3445.136.2.217 Focusing the spotlight: individual differences in visual attention control]
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* 2014-07: [https://www.frontiersin.org/journals/neuroscience/articles/10.3389/fnins.2014.00150/full The speed-accuracy tradeoff: history, physiology, methodology, and behavior]
  
 
=Simulate Brain=
 
=Simulate Brain=
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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])
 
* 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]
 
* 2024-12: [https://arxiv.org/abs/2412.19814 Predicting Human Brain States with Transformer]
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* 2025-08: [https://www.arxiv.org/abs/2507.22229 TRIBE: TRImodal Brain Encoder for whole-brain fMRI response prediction]
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==See Also==
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* [[AI_and_Humans#Simulate_Humans|Simulate Humans (using LLM)]]
  
 
=Bio-brain Inspirations for AI=
 
=Bio-brain Inspirations for AI=
 
* 2025-01: [https://arxiv.org/abs/2501.16396 TopoNets: High Performing Vision and Language Models with Brain-Like Topography]
 
* 2025-01: [https://arxiv.org/abs/2501.16396 TopoNets: High Performing Vision and Language Models with Brain-Like Topography]
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=Theories of Consciousness=
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* [https://www.consciousnessatlas.com/ Consciousness Atlas]
  
 
=See Also=
 
=See Also=
 
* [[AI_and_Humans#Simulate_Humans|LLM Simulate Humans]]
 
* [[AI_and_Humans#Simulate_Humans|LLM Simulate Humans]]

Latest revision as of 09:40, 12 November 2025

How Brain Works

Predictive Coding

Understanding

Brain mapping

Related

Brain signal decoding

Computational Analysis

Computational power of human brain

Comparison to computer

Biological vs. artificial neuron

Data processing

Extract manifold/geometry

Comparisons

Analogies

Speed-accuracy trade-off vs. Inference-compute

Simulate Brain

See Also

Bio-brain Inspirations for AI

Theories of Consciousness

See Also

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