In standard formulations of the causal Markov condition, each variable in a system is assumed …
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Time-symmetric cortical computation starts from the premise that neural dynamics in the cortex can be …
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Neural computation in biological systems is fundamentally organized around the task of anticipating what will …
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In ordinary discussions of time’s arrow, the thermodynamic tendency toward higher entropy is treated as …
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From a Bayesian perspective, perception and action are often modeled as processes of probabilistic inference, …
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In ordinary decision making, we picture time as a clean sequence: we deliberate in the …
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Predictive processing models the brain as a constantly active inference machine that minimizes prediction error …
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Bidirectional temporal modeling starts from the observation that many stochastic processes can be described equally …
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In standard accounts of the markov blanket, a system is insulated from the rest of …
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The brain’s so‑called default mode network is not a single structure but a distributed ensemble …