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Nmda Receptor

All articles tagged with #nmda receptor

Mutant grin2a reveals thalamocortical circuit linked to cognitive deficits in schizophrenia
science3 hours ago

Mutant grin2a reveals thalamocortical circuit linked to cognitive deficits in schizophrenia

MIT researchers link a grin2a gene mutation to impaired updating of beliefs in mice via disruption of a mediodorsal thalamus–prefrontal cortex circuit, slowing adaptive decision-making; optogenetic activation of the circuit reversed the behavioral deficits, suggesting circuit-based targets for cognitive symptoms in schizophrenia.

"AI's Memory Capabilities Mirror the Human Brain"
artificial-intelligence2 years ago

"AI's Memory Capabilities Mirror the Human Brain"

Researchers have discovered a striking similarity between AI memory processing in the Transformer model and the memory functions of the human brain's hippocampus. The study found that the Transformer model employs a gatekeeping process similar to the brain's NMDA receptor, which is crucial for memory consolidation. This research not only advances the development of Artificial General Intelligence (AGI) but also deepens our understanding of human memory mechanisms. The findings offer potential for developing more efficient, brain-like AI systems and shed light on the workings of the human brain through AI models.

AI's Memory: A Mirror of the Human Brain
artificial-intelligence2 years ago

AI's Memory: A Mirror of the Human Brain

Researchers have discovered a striking similarity between the memory processing of artificial intelligence (AI) models, specifically the Transformer model, and the hippocampus of the human brain. By applying principles of human brain learning, the team found that the Transformer model uses a gatekeeping process similar to the brain's NMDA receptor, which facilitates memory formation. Mimicking the NMDA receptor's gating process in the Transformer model led to enhanced memory, suggesting that AI models can learn using established knowledge in neuroscience. This research opens up possibilities for developing low-cost, high-performance AI systems that learn and remember information like humans, while also providing valuable insights into the workings of the brain through AI models.