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MIT brain model predicts unseen neuron error signals
MIT researchers built a biologically detailed AI model of a brain circuit that unexpectedly predicted a class of neurons firing before mistakes, later confirmed in decade-old macaque data. The finding ...
An MIT-led team built a biologically detailed AI model of the prefrontal cortex–striatum circuit that not only matched macaque learning behavior but predicted a previously unnoticed class of neurons ...
Subquadratic launched SubQ, a 12 million-token LLM that promises cheaper long-context AI and could challenge RAG-heavy memory ...
Figure 1. Diagram showing an electrically active cell in a neuronal culture and the process of recording its transmembrane potential for further analysis Neurons are cells that enable the brain to ...
A new computer simulation of how our brains develop and grow neurons has been built by scientists from the University of Surrey. Along with improving our understanding of how the brain works, ...
Researchers at LMU have developed a human cell model that replicates key mechanisms of neurodegenerative diseases—with potential for novel therapies. The paper is published in the journal Science ...
In a recent interview with podcaster Lex Fridman, Anthropic co-founder Chris Olah revealed that he found a “Trump neuron” in the CLIP model, a type of AI neural network developed by OpenAI that ...
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