Seonglae ChoNeuroscience Notion
Neuroscience Fields
How AI and neuroscience drive each other forwards
Nature - Bringing together artificial intelligence and neuroscience promises to yield benefits for both fields.
https://www.nature.com/articles/d41586-019-02212-4
Neuron 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
History
The History of Neuroscience
“Selected Articles in English” Selected articles originally published in Korean are now translated into English, making them accessible to the readers worldwide. Prologue: The Journey Inward, Deciphering the Final Frontier For thousands of years, humans have looked at the stars and wondered about the origin of the universe. Yet the most complex object in that…
https://horizon.kias.re.kr/33442/
While the learning system (neocortex, hippocampus, etc.) is a general-purpose learner that builds a world model through experience, the steering system (hypothalamus, brainstem) provides reward signals based on evolutionarily hard-coded rules and thereby determines the direction of learning.
- Learning system: neocortex, hippocampus, etc. Learns actions by building a world model from experience.
- Steering system: hypothalamus, brainstem, etc. Innate instincts and reward signals “hard-coded” by evolution steer the direction of learning.
Complex human behaviours: sociality, shame, laughter, attachment are explained as emerging not from simple reward alone, but from an intermediate circuit called a Thought Assessor that links learned concepts to instinctive rewards.
The Sweet Lesson of Neuroscience
Scientists once hoped that studying the brain would teach us how to build AI. Now, one AI researcher may have something to teach us about the brain.
https://asteriskmag.com/issues/13/the-sweet-lesson-of-neuroscience
The molecular cytoarchitecture of the adult mouse brain
Nature - To construct a comprehensive atlas of cell types in each brain structure, we paired high-throughput single-nucleus RNA sequencing with Slide-seq, a recently developed spatial...
https://www.nature.com/articles/s41586-023-06818-7
