The brain continuously optimizing its predictions. Local "leaky" circuits correct errors, while hierarchies link these computations using nonlinearities shaped by prior expectations. Predictive Coding with Bayesian Priors via Proximal Gradients arxiv.org/abs/2606.08374 #neuros…
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Earl K. Miller
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Researcher with public evidence across AI research, AI business.
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Picower Professor of Neuroscience @ MIT
Cognitive neuroscience, executive brain functions, consciousness, and bass guitar. You know, the good stuff.
ekmillerlab.mit.edu
Co-founder, Neuroblox
https://www.neuroblox.ai/
What they're sharing
Predictive Coding with Bayesian Priors via Proximal Gradients arxiv.org
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This seems like a bold claim, given that we still don’t understand how consciousness works and that current evidence suggests the brain operates very differently from today’s AI. A Silent Workspace In Claude Mirrors Key Features of Human Consciousness m.slashdot.org/story/4561…
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