Bayesian inference begins with the idea that uncertainty about unknown quantities is represented by probability …
Tag:
prediction
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Temporal credit assignment becomes especially nontrivial when signals are permitted to propagate backward through a …
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To formalize retrocausal inference, it is useful to start from standard probabilistic modeling and then …
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Metastability in cognitive dynamics refers to a regime in which the brain’s activity does not …
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Neural priors in non-equilibrium learning dynamics can be understood as structured constraints that bias how …
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At the scale of cells and synapses, the brain is usually described with classical electrochemistry: …
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Accounts of conscious access rooted in global workspace theory have long emphasized a distinctive pattern …
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In classical cognitive science, mental processes are often modeled as Markovian: what the system does …
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In probabilistic modeling, temporal structure in prior belief spaces determines how an agent distributes uncertainty …
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Standard causal inference assumes a privileged arrow of time: causes precede effects, and the mathematical …