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information is processed in the brain and how the brain circuits adapt to the environment. Drawing on analytical techniques from statistical physics and information theory, we probe the key functional
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of approximate inference and sampling, grounded in both equilibrium statistical mechanics and dynamical perspectives. These efforts are expected to deepen and extend the mathematical foundations that underpin
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