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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Any account of future-informed prediction must begin from the idea that the brain is 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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In neural computation, time-reversed inference refers to the idea that the brain can effectively run …
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Retrocausal cognition refers to the apparent capacity of minds to access or be influenced by …
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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 …