claim

active

claim:dopamine-discharge-encodes-changes-in-expected-free-energy-under-posterior-vs-prior-policy-beliefs-representing-precision-updates

Dopamine discharge encodes changes in expected free energy under posterior vs. prior policy beliefs, representing precision updates.

Links dopamine to precision modulation; reward prediction error reflects expected free energy changes.

Source paper

extracted_from

Active Inference: A Process Theory

(2017) · Karl Friston · Thomas FitzGerald · Francesco Rigoli · Philipp Schwartenbeck +1

Neighborhood — ranked by edge-count

Findings (1)

finding

Transfer of Dopamine Responses
supports
Learning phenomenon reproduced by active inference: dopamine discharge shifts from unconditioned to conditioned stimuli.

Communities (2)

community

Active inference & agent ecology
members_of
Free energy minimization, Markov blankets, trust gradients, and multi-agent rhythm/deferral frameworks
Active inference and free energy minimization
members_of
Agents balance perception and action through variational free energy, with exploration-exploitation trade-offs emerging from expected free energy decomposition into risk and ambiguity terms.

Related by similarity (8)

cosine ≥ 0.65 · no typed edge

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

Dopamine encodes the conditional certainty or precision of predictionsclaim0.811
Broader role for dopamine beyond reward signalling, influencing top-down/bottom-up balance.
Midbrain dopamine neurons fire above baseline for rewards better than predicted, at baseline for matching predictions, and below baseline for worse-than-predicted rewards, matching the temporal difference errorfinding0.784
The foundational finding linking dopaminergic activity to formal RL prediction error
Agents perceive by minimizing variational free energy to ensure model consistency with past observations and act by minimizing expected free energy to make future sensations consistent with preferences.claim0.763
Formalization of perception-action cycle integrating inference and decision-making.
The approximate posterior over policies is a softmax function of the negative expected free energy.claim0.752
Mathematical form of policy selection, eq. (10).
The temperature parameter regulating precision of policy selection has a clear biological interpretation in terms of confidence encoded in dopaminergic firing.claim0.751
Links precision to dopamine, Section 6.3.
Expected free energy scores each possible course of action in terms of its ability to reach the range of preferred states of being.claim0.750
Definitional claim from Section 2.
"A system can minimize free-energy by changing its configuration to change the way it samples the environment, or to change its expectations. These changes correspond to action and perception respectively."concept0.743
Load-bearing definition of how action and perception implement free energy minimization.
If epistemic value is removed from expected free energy, the resulting objective reduces to maximizing expected future reward (pragmatic value).hypothesis0.742
Stated as conditional statement explaining the special case whence RL emerges.