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Data Analyst Leila Elabbady and Senior Investigator Clay Reid reviewing neuron reconstructions for the Machine Intelligence from Cortical Networks project in Dec. 2024, in Seattle, Wash. (Jenny ...
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How neural networks represent data: A potential unifying theory for key deep learning phenomenaTheir Canonical Representation Hypothesis (CRH) posits that, during training, neural networks inherently align their latent representations, weights, and neuron gradients within each layer.
A cortical neuron treated with JRT, a synthetic molecule similar to the psychedelic drug LSD. Drugs like JRT might enable new treatments for conditions such as schizophrenia, without the ...
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