Seonglae ChoNeuron Activation in Left Prefrontal cortex respond to work such as AI Neuron Activation (actually word embedding in the paper)
Semantic encoding during language comprehension at single-cell resolution
www.nature.com
https://www.nature.com/articles/s41586-024-07643-2
Alignment of brain embeddings and artificial contextual embeddings in natural language points to common geometric patterns
Nature Communications - Here, using neural activity patterns in the inferior frontal gyrus and large language modeling embeddings, the authors provide evidence for a common neural code for language...
https://www.nature.com/articles/s41467-024-46631-y
Neuromorphic computing
Neuromorphic computing is an approach to computing that is inspired by the structure and function of the human brain.[1][2] A neuromorphic computer/chip is any device that uses physical artificial neurons to do computations.[3][4] In recent times, the term neuromorphic has been used to describe analog, digital, mixed-mode analog/digital VLSI, and software systems that implement models of neural systems (for perception, motor control, or multisensory integration). Recent advances have even discovered ways to mimic the human nervous system through liquid solutions of chemical systems.[5]
https://en.wikipedia.org/wiki/Neuromorphic_computing
Google helps map one cubic millimeter of human brain tissue - 9to5Google
The human brain is one of the most complex structures in existence. Google, in collaboration with Harvard University, today released a browsable 1.4-petabyte reconstruction of a very small part of the human cortex.
https://9to5google.com/2021/06/01/google-human-brain-map/?utm_source=tldrnewsletter
Denoising-based Image Compression for Connectomics
Connectomic reconstruction of neural circuits relies on nanometer resolution microscopy which produces on the order of a petabyte of imagery for each cubic millimeter of brain tissue. The cost of storing such data is a significant barrier to broadening the use of connectomic approaches and scaling to even larger volumes. We present an image compression approach that uses machine learning-based denoising and standard image codecs to compress raw electron microscopy imagery of neuropil up to 17-fold with negligible loss of reconstruction accuracy. ### Competing Interest Statement The authors have declared no competing interest.
https://www.biorxiv.org/content/10.1101/2021.05.29.445828v1
3D reconstruction
neuroglancer
https://h01-release-dot-neuroglancer-demo.appspot.com/#!gs://h01-release/assets/neuroglancer_states/20210601/c3_library.json
Fly
www.nature.com
https://www.nature.com/articles/d41586-024-03190-y
Visualization & Mapping
6 incredible images of the human brain built with the help of Google's AI
Google researchers and Harvard neuroscientists have worked together to reveal incredible images of the human brain.
https://blog.google/technology/research/google-ai-research-new-images-human-brain/
It Took 12 Years To Completely Map a Baby Fruit Fly’s Brain
With 3,016 neurons and 58,000 neural connections, this map of a fruit fly larva brain is the most impressive piece of neurological cartography to date.
https://www.popularmechanics.com/science/animals/a43266443/fruit-fly-brain/
Scientists Used Over 100,000 MRIs to Map The Human Brain Across Our Entire Lifetime
We've now got a more complete picture than ever before of how the brain grows, evolves, and shrinks over our lives - all thanks to a complex database combining 123,984 magnetic resonance imaging (MRI) scans taken from 101,457 individuals.
https://www.sciencealert.com/scientists-used-over-100-000-mris-to-chart-the-brain-across-the-human-lifespan
