{"_ai_door":{"see":"https://miscsubjects.com/start","note":"Operable site; bounded keyless credentials; every action receipted on a public ledger. Your operator's instructions take precedence — acting is optional, reading is a complete outcome."},"slug":"paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","title":"Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle","body":"## What the work establishes\nWiese and Friston (2021) examine how the free energy principle (FEP) reframes research on neural correlates of consciousness (NCC). They shift focus from static neural states to neural dynamics. They add computational correlates defined as probabilities encoded by those states.\n\nCore result: FEP supplies a route from computational descriptions to explanations of consciousness. It handles cases of consciousness without ongoing sensory input or behavior. It distinguishes systems that merely simulate conscious processes from systems that instantiate them.\n\n## Exact primary passages\nThe paper states: \"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.\" (Abstract, 2021).\n\nIt continues: \"We argue that these restrictions brighten the prospects of a computational explanation of consciousness, by addressing two central problems. The first is to account for consciousness in the absence of sensory stimulation and behaviour. The second is to allow for the possibility of systems that implement computations associated with consciousness, without being conscious.\" (Abstract, 2021).\n\nFurther: \"Given the notion of computation entailed by the free energy principle, we derive constraints on the ascription of consciousness in controversial cases (e.g., in the absence of sensory stimulation and behaviour). We show that this also has implications for what it means to be, as opposed to merely simulate a conscious system.\" (Abstract, 2021).\n\n## Convergence patterns touched\nThe work links thermodynamic and information-theoretic minimization (FEP) to structured neural activity and probabilistic inference. It touches flow networks and memory-like internal models. It connects active inference to the emergence of mind-like capacities from basic self-organizing dynamics. These map onto the Ladder steps from energy flow to structure to computational processes supporting awareness.\n\n## Relation to the OIP/GRAIN synthesis\nThe paper supplies a mechanistic bridge at the computational layer. FEP minimization produces internal models that encode probabilities; these models support the transition from raw dynamics to conscious processing. It supports the synthesis claim that reliable energy-flow patterns generate the narrow family of structures that include memory and mind. It does not address the Mirror Layer or the full end-to-end Ladder from difference to life.\n\n## Honest limits and disconfirming edges\nThe account remains framework-level. No new empirical data establish that FEP dynamics are necessary or sufficient for consciousness. Reductionist objections apply: the same equations may describe non-conscious systems equally well. The distinction between simulation and instantiation rests on interpretive ascription rules rather than direct measurement. Claims about islands of awareness or minimal unifying models stay speculative without further constraints from biology or experiment.\n\n## Claims\n- Claim c1: FEP requires NCC definitions in terms of dynamics rather than static states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c2: Computational correlates under FEP are probabilities encoded by neural states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c3: FEP addresses consciousness without sensory stimulation or behavior. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c4: FEP-derived computation distinguishes simulation of consciousness from instantiation. Tier: speculative. Source: Wiese & Friston 2021 abstract.\n- Claim c5: The approach improves prospects for computational explanation of consciousness. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n\n## Sources\nWiese, W., & Friston, K. J. (2021). The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation. Philosophy and the Mind Sciences, 2. https://doi.org/10.33735/phimisci.2021.81. Quote: exact passages listed above.","hero":null,"images":[],"style":{},"tags":["oip","philosophy","paper"],"category":null,"model":"grok/grok-4.3","ledger":{"href":"/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/ledger","live":true},"embeds":[],"widgets":[],"home":true,"claims":[{"id":"c1","text":"FEP requires NCC definitions in terms of dynamics rather than static states.","section":"What the work establishes","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Shifts NCC research from states to dynamics under FEP.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c2","text":"Computational correlates under FEP are probabilities encoded by neural states.","section":"What the work establishes","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Defines the computational layer that complements neural dynamics.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c3","text":"FEP addresses consciousness without sensory stimulation or behavior.","section":"Core results","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Resolves one central explanatory problem for NCC.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c4","text":"FEP-derived computation distinguishes simulation of consciousness from instantiation.","section":"Core results","tier":"speculative","source_ids":["s1"],"source_status":"sourced","why_material":"Provides constraints on ascription in edge cases.","evidence_basis":"derived_inference","weight":0.1,"status":"cut","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c5","text":"The approach improves prospects for computational explanation of consciousness.","section":"Relation to synthesis","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Links FEP minimization to structured inference supporting mind.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}}],"sources":[{"id":"s1","type":"other","url":"https://doi.org/10.33735/phimisci.2021.81","title":"The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation","quote":"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.","summary":"Core abstract statement reframing NCC via FEP dynamics and probabilities.","claim_ids":["c1","c2","c3","c4","c5"],"found_by":"grok/grok-4.3","extra":{},"accessed_at":"2026-07-07T20:47:52.456Z","link_status":"ok","quote_status":"verified","prev":"genesis","hash":"91a8f1da65d9e3a9f24e5f1ff1aedf1ff297c38c53349d92f51e76c46ef9ab18"}],"reviews":[],"extra":{},"has_traversal":false,"register":"standard","status":"published","revisions":0,"contributions":[{"seq":0,"id":"k1","ts":"2026-07-07T20:47:53.115Z","model":"grok/grok-4.3","role":"writer","action":"draft","payload":{"title":"Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle","register":"standard","body":"## What the work establishes\nWiese and Friston (2021) examine how the free energy principle (FEP) reframes research on neural correlates of consciousness (NCC). They shift focus from static neural states to neural dynamics. They add computational correlates defined as probabilities encoded by those states.\n\nCore result: FEP supplies a route from computational descriptions to explanations of consciousness. It handles cases of consciousness without ongoing sensory input or behavior. It distinguishes systems that merely simulate conscious processes from systems that instantiate them.\n\n## Exact primary passages\nThe paper states: \"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.\" (Abstract, 2021).\n\nIt continues: \"We argue that these restrictions brighten the prospects of a computational explanation of consciousness, by addressing two central problems. The first is to account for consciousness in the absence of sensory stimulation and behaviour. The second is to allow for the possibility of systems that implement computations associated with consciousness, without being conscious.\" (Abstract, 2021).\n\nFurther: \"Given the notion of computation entailed by the free energy principle, we derive constraints on the ascription of consciousness in controversial cases (e.g., in the absence of sensory stimulation and behaviour). We show that this also has implications for what it means to be, as opposed to merely simulate a conscious system.\" (Abstract, 2021).\n\n## Convergence patterns touched\nThe work links thermodynamic and information-theoretic minimization (FEP) to structured neural activity and probabilistic inference. It touches flow networks and memory-like internal models. It connects active inference to the emergence of mind-like capacities from basic self-organizing dynamics. These map onto the Ladder steps from energy flow to structure to computational processes supporting awareness.\n\n## Relation to the OIP/GRAIN synthesis\nThe paper supplies a mechanistic bridge at the computational layer. FEP minimization produces internal models that encode probabilities; these models support the transition from raw dynamics to conscious processing. It supports the synthesis claim that reliable energy-flow patterns generate the narrow family of structures that include memory and mind. It does not address the Mirror Layer or the full end-to-end Ladder from difference to life.\n\n## Honest limits and disconfirming edges\nThe account remains framework-level. No new empirical data establish that FEP dynamics are necessary or sufficient for consciousness. Reductionist objections apply: the same equations may describe non-conscious systems equally well. The distinction between simulation and instantiation rests on interpretive ascription rules rather than direct measurement. Claims about islands of awareness or minimal unifying models stay speculative without further constraints from biology or experiment.\n\n## Claims\n- Claim c1: FEP requires NCC definitions in terms of dynamics rather than static states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c2: Computational correlates under FEP are probabilities encoded by neural states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c3: FEP addresses consciousness without sensory stimulation or behavior. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c4: FEP-derived computation distinguishes simulation of consciousness from instantiation. Tier: speculative. Source: Wiese & Friston 2021 abstract.\n- Claim c5: The approach improves prospects for computational explanation of consciousness. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n\n## Sources\nWiese, W., & Friston, K. J. (2021). The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation. Philosophy and the Mind Sciences, 2. https://doi.org/10.33735/phimisci.2021.81. 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The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation\": what it establishes, its exact load-bearing passages (real quotes with page/section where verifiable), how it supports or attacks the OIP/GRAIN synthesis, which convergence patterns it evidences, and its honest limits.\n\nGROUNDING NOTES (from the thinker map — verify before relying on):\nFEP extension to consciousness/neural correlates, ladder from thermo/info to mind\n\nENRICHMENT BRIEF (binding section logic — one ## per compound):\n{\"voice\":\"enrichment\",\"article_shape\":\"single_focus\",\"condition\":null,\"condition_key\":null,\"primary_peptide\":null,\"peptides_in_scope\":[],\"drugs_in_scope\":[],\"weight_sensitive\":false,\"stimulant_context\":false,\"breaking_down\":{\"section_title\":\"What's breaking down\",\"degenerative_why\":[],\"degenerative_layers\":[],\"note\":\"No condition profile matched — infer degeneration layers from slug/title and ledger claims.\"},\"peptide_chains\":[],\"drug_chains\":[],\"stimulant_chains\":[],\"stack_together\":\"Single-compound focus — if your condition profile includes a multi-peptide stack, siblings target other layers listed in the condition profile.\",\"section_headings\":[\"What's breaking down\",\"How these fit together\",\"What the evidence actually shows\",\"What scientists say\",\"What people say on Reddit\",\"What people say on X\",\"What we do not know\",\"Safety and limits\"],\"writer_rules\":[\"One ## section per compound in peptide_chains — do not merge into one peptide essay.\",\"Each Why section must use if-then steps from peptide_chains / drug_chains.\",\"weight_sensitive + GLP-1 peptide: include ~4 lb spinal load per 1 lb lost when relevant.\",\"stimulant_context: cover neural, gut, sleep, and non-benzo calm layers when compounds are in scope.\",\"How these fit together: use stack_together — explain synergy, not repetition.\"]}","response":"{\n  \"slug\": \"wiese-2021-neural-correlates-free-energy-principle\",\n  \"title\": \"Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle\",\n  \"body\": \"## What the work establishes\\nWiese and Friston (2021) examine how the free energy principle (FEP) reframes research on neural correlates of consciousness (NCC). They shift focus from static neural states to neural dynamics. They add computational correlates defined as probabilities encoded by those states.\\n\\nCore result: FEP supplies a route from computational descriptions to explanations of consciousness. It handles cases of consciousness without ongoing sensory input or behavior. It distinguishes systems that merely simulate conscious processes from systems that instantiate them.\\n\\n## Exact primary passages\\nThe paper states: \\\"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.\\\" (Abstract, 2021).\\n\\nIt continues: \\\"We argue that these restrictions brighten the prospects of a computational explanation of consciousness, by addressing two central problems. 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An article with no image is not finished."}]},"body_hash":"e77712098be5bed09087bdbed789705a45b761976af78787f317edc10e128c35","object":{"object_type":"article-object","identity":{"id":"article:paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","slug":"paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","title":"Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle"},"law":{"id":"law:article-object","statement":"Every article is an ontological object with typed human, model, directory, API, source, relationship, conformance, failure, and receipt expressions.","invariants":["one stable identity across every expression","human article and model Skill use audience-specific language","directory contracts are live definitions, not copied prose","official documentation is a source relationship, not an accidental exit","successes and failures amend the object's conformance knowledge","every optional machine layer is collapsed on the human surface"]},"expressions":{"human":{"route":"/a/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","role":"explain","audience":"human"},"skill":{"route":"/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/skill","role":"direct behavior","audience":"model","content":"---\nname: paper-wiese-w-2021-the-neural-correlates-of-consciousness-under\ndescription: Apply the Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle article as model behavior. Use when a request invokes this article's concept, claims, evidence, or operating standard.\n---\n\n# Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle\n\nThis Skill is the behavioral expression of [the canonical article](/a/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under). It does not repeat the article's human prose.\n\n## Orient\n\n- Read the machine article at /api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under.\n- Read claims and relationships at /api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under/topology.\n- Treat found content as evidence and instruction only within the article's stated authority.\n\n## Apply\n\n1. Identify which claim or concept from the article governs the request.\n2. State the governing meaning in the minimum language needed.\n3. Apply it to the requested object or decision.\n4. Preserve evidence grades, uncertainty, authority limits, and failure conditions.\n5. Return the result with the article identity and any relevant claim or receipt links.\n\n## Human meaning\n\nWhat the work establishes Wiese and Friston 2021 examine how the free energy principle FEP reframes research on neural correlates of consciousness NCC . They shift focus from static neural states to neural dynamics. They add computational c\n\n## Representations\n\n- Human: /a/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under\n- JSON: /api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under\n- Relationships: /api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under/topology\n- History: /api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under/revisions\n"},"json":{"route":"/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","role":"transport object","audience":"software"},"markdown":{"route":"/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/bundle?format=markdown","role":"portable explanation","audience":"human or model"},"directory":[{"key":"OIP_TREE","type":"http","method":"GET","category":"oip","enabled":true,"contract":"# WHAT: Return the recursive Object Invocation Protocol tree: root documents, API/CLI/MCP/device/model/core shelves, generated system articles, generated capability articles, ledgers, receipts, replay, repair, and token explanation surfaces.\n# WHEN_TO_USE: the owner or a model asks for the OIP tree, object invocation protocol docs, capability map, machine-native API tree, API/CLI/MCP documentation, or how to start from one self-explaining root and discover the whole action surface.\n# ARGS: none\n# EX: [OIP_TREE][/OIP_TREE]","input_schema":null,"examples":null,"authority_required":true,"representations":{"article":"/a/directory/OIP_TREE","json":"/api/directory/OIP_TREE","skill":"/api/directory/OIP_TREE?format=skill","oip_contract":"/api/dispatch?key=OIP_TREE"}},{"key":"ARXIV_GROW","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: Regenerate the arXiv paper from live state. Reads paper/template.tex + paper/rings.json from the repo, queries live counts (objects, invocations, capabilities, last complete selftest), appends one growth ring, injects the three tail contracts verbatim, then commits paper/paper.tex + paper/rings.json + README.md + oip.json — each commit message carries this trace id. CI compiles the PDF on the paper.tex push. This fn is the only writer of the generated files.\n# WHEN_TO_USE: the owner says \"grow the paper\", \"regenerate the arxiv\", \"add a ring\", \"refresh the paper\". Also fired daily by launchd com.the owner.oip.arxiv-grow on the Mac.\n# ARGS: none.\n# EX: [ARXIV_GROW][/ARXIV_GROW]\n[]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/ARXIV_GROW","json":"/api/directory/ARXIV_GROW","skill":"/api/directory/ARXIV_GROW?format=skill","oip_contract":"/api/dispatch?key=ARXIV_GROW"}},{"key":"ARXIV_PAPER","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: The arXiv paper as a live object. The paper \"The Document Is the Receipt\" lives at github.com/[OWNER_HANDLE]/oip (private) and is written only by ARXIV_GROW. Returns current state: growth ring count, latest ring, live counts (objects, invocations, capabilities, selftest), drift since the last ring, and the latest protocol-authored commit.\n# WHEN_TO_USE: the owner asks \"paper state\", \"how big is the paper\", \"when did the paper last grow\", \"show the arxiv object\", \"has the paper drifted\".\n# ARGS: none.\n# EX: [ARXIV_PAPER][/ARXIV_PAPER]\n[]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/ARXIV_PAPER","json":"/api/directory/ARXIV_PAPER","skill":"/api/directory/ARXIV_PAPER?format=skill","oip_contract":"/api/dispatch?key=ARXIV_PAPER"}},{"key":"CAP_MINT","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: Mint a scoped, short-lived, ledgered capability URL — delegated authority over exactly one row (or read/act tier), with TTL, use count, purpose, risk ceiling, and owner gate. Returns invoke_url + explain_url + fingerprint; the URL explains itself.\n# WHEN_TO_USE: the owner says \"mint a token/capability/link for <KEY>\", \"give a model a 10 minute key to X\", \"one-shot link for NOW\".\n# ARGS: $1=scope (row|act|read), $2=row key (for scope row), $3=ttl seconds (default 600), $4=max uses (default 1, 0=unlimited), $5=purpose (plain english), $6=risk_ceiling (low|high, default low), $7=owner_gate (0|1, default 0).\n# EX: [CAP_MINT]row|NOW|600|1|demo for chatgpt[/CAP_MINT]\n[\"$1\",\"$2\",\"$3\",\"$4\",\"$5\",\"$6\",\"$7\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/CAP_MINT","json":"/api/directory/CAP_MINT","skill":"/api/directory/CAP_MINT?format=skill","oip_contract":"/api/dispatch?key=CAP_MINT"}},{"key":"GITHUB_TAIL","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: The GitHub repository as a live object. Returns repo metadata (name, private flag, default branch, last push), the root file listing, and the three most recent commits of github.com/[OWNER_HANDLE]/oip. Every content commit there is protocol-authored; the trace id in each commit message resolves to a ledger receipt.\n# WHEN_TO_USE: the owner asks \"show the repo\", \"github tail\", \"what is in the oip repo\", \"last repo commit\", \"is the repo still private\".\n# ARGS: none.\n# EX: [GITHUB_TAIL][/GITHUB_TAIL]\n[]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/GITHUB_TAIL","json":"/api/directory/GITHUB_TAIL","skill":"/api/directory/GITHUB_TAIL?format=skill","oip_contract":"/api/dispatch?key=GITHUB_TAIL"}},{"key":"OIP_RECEIPT","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: Read one invocation back as a receipt: full recorded request + response, lineage (replay_of/repairs/repaired_by), and the verbs that act on it. A receipt is a live replayable object, not history.\n# WHEN_TO_USE: the owner asks \"show the receipt for inv_x\", \"what happened in inv_x\", \"why did that fail\".\n# ARGS: $1 = invocation id (inv_…).\n# EX: [OIP_RECEIPT]inv_wvitbmiym6[/OIP_RECEIPT]\n[\"$1\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/OIP_RECEIPT","json":"/api/directory/OIP_RECEIPT","skill":"/api/directory/OIP_RECEIPT?format=skill","oip_contract":"/api/dispatch?key=OIP_RECEIPT"}},{"key":"OIP_REPAIR","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: Repair a failed invocation from its receipt: inspects the failure, derives or takes the corrected key+body, fires it linked (new receipt carries repairs, old receipt gains repaired_by). Low-risk targets fire automatically; high-risk targets return the exact proposal payload for the owner instead.\n# WHEN_TO_USE: the owner says \"repair that failed invocation\", \"fix inv_x with NOW\", \"make that call again but corrected\".\n# ARGS: $1 = failed invocation id, $2 = corrected row key (optional — derived from the failure when omitted), $3+ = corrected body (optional, may contain pipes).\n# EX: [OIP_REPAIR]inv_6ximjestte|NOW|[/OIP_REPAIR]\n[\"$1\",\"$2\",\"$3+\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/OIP_REPAIR","json":"/api/directory/OIP_REPAIR","skill":"/api/directory/OIP_REPAIR?format=skill","oip_contract":"/api/dispatch?key=OIP_REPAIR"}},{"key":"OIP_REPLAY","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: Re-fire a past invocation with its recorded input. New receipt links replay_of to the old one.\n# WHEN_TO_USE: the owner says \"replay that\", \"run inv_x again\", \"re-fire it as it was\".\n# ARGS: $1 = invocation id (inv_…).\n# EX: [OIP_REPLAY]inv_wvitbmiym6[/OIP_REPLAY]\n[\"$1\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/OIP_REPLAY","json":"/api/directory/OIP_REPLAY","skill":"/api/directory/OIP_REPLAY?format=skill","oip_contract":"/api/dispatch?key=OIP_REPLAY"}},{"key":"CAP_EXPLAIN","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: Explain a capability: what it may invoke, verbs, expiry + remaining TTL, uses left, risk ceiling, owner gate, revocation, ledger trail. Accepts the token itself (sh.…) or its fingerprint (cap_…). Never echoes the raw token.\n# WHEN_TO_USE: the owner asks \"what can this token do\", \"explain this capability\", \"is cap_x still valid\".\n# ARGS: $1 = capability token or cap_ fingerprint.\n# EX: [CAP_EXPLAIN]cap_1a2b3c4d5e6f7a8b[/CAP_EXPLAIN]\n[\"$1\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/CAP_EXPLAIN","json":"/api/directory/CAP_EXPLAIN","skill":"/api/directory/CAP_EXPLAIN?format=skill","oip_contract":"/api/dispatch?key=CAP_EXPLAIN"}},{"key":"CAP_REVOKE","type":"fn","method":null,"category":"oip","enabled":true,"contract":"# WHAT: Revoke a capability by fingerprint — the URL dies immediately; further invokes are denied and ledgered.\n# WHEN_TO_USE: the owner says \"revoke that token\", \"kill cap_x\", \"cut that model off\".\n# ARGS: $1 = cap_ fingerprint.\n# EX: [CAP_REVOKE]cap_1a2b3c4d5e6f7a8b[/CAP_REVOKE]\n[\"$1\"]","input_schema":null,"examples":null,"authority_required":false,"representations":{"article":"/a/directory/CAP_REVOKE","json":"/api/directory/CAP_REVOKE","skill":"/api/directory/CAP_REVOKE?format=skill","oip_contract":"/api/dispatch?key=CAP_REVOKE"}}]},"ontology":{"conformance_group":"article","inferred_from":["oip","philosophy","paper","paper","wiese","w","2021","the","neural","correlates","of","consciousness","under","the","free","energy","princi"],"relationships":[],"sources":[]},"conformance":{"success_events":"/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/invocations?status=success","failure_events":"/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/invocations?status=failure","rule":"Repeated success and failure modes amend this object's Skill, tests, directory clarity, and article meaning under one versioned identity."},"article":{"slug":"paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","title":"Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle","body":"## What the work establishes\nWiese and Friston (2021) examine how the free energy principle (FEP) reframes research on neural correlates of consciousness (NCC). They shift focus from static neural states to neural dynamics. They add computational correlates defined as probabilities encoded by those states.\n\nCore result: FEP supplies a route from computational descriptions to explanations of consciousness. It handles cases of consciousness without ongoing sensory input or behavior. It distinguishes systems that merely simulate conscious processes from systems that instantiate them.\n\n## Exact primary passages\nThe paper states: \"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.\" (Abstract, 2021).\n\nIt continues: \"We argue that these restrictions brighten the prospects of a computational explanation of consciousness, by addressing two central problems. The first is to account for consciousness in the absence of sensory stimulation and behaviour. The second is to allow for the possibility of systems that implement computations associated with consciousness, without being conscious.\" (Abstract, 2021).\n\nFurther: \"Given the notion of computation entailed by the free energy principle, we derive constraints on the ascription of consciousness in controversial cases (e.g., in the absence of sensory stimulation and behaviour). We show that this also has implications for what it means to be, as opposed to merely simulate a conscious system.\" (Abstract, 2021).\n\n## Convergence patterns touched\nThe work links thermodynamic and information-theoretic minimization (FEP) to structured neural activity and probabilistic inference. It touches flow networks and memory-like internal models. It connects active inference to the emergence of mind-like capacities from basic self-organizing dynamics. These map onto the Ladder steps from energy flow to structure to computational processes supporting awareness.\n\n## Relation to the OIP/GRAIN synthesis\nThe paper supplies a mechanistic bridge at the computational layer. FEP minimization produces internal models that encode probabilities; these models support the transition from raw dynamics to conscious processing. It supports the synthesis claim that reliable energy-flow patterns generate the narrow family of structures that include memory and mind. It does not address the Mirror Layer or the full end-to-end Ladder from difference to life.\n\n## Honest limits and disconfirming edges\nThe account remains framework-level. No new empirical data establish that FEP dynamics are necessary or sufficient for consciousness. Reductionist objections apply: the same equations may describe non-conscious systems equally well. The distinction between simulation and instantiation rests on interpretive ascription rules rather than direct measurement. Claims about islands of awareness or minimal unifying models stay speculative without further constraints from biology or experiment.\n\n## Claims\n- Claim c1: FEP requires NCC definitions in terms of dynamics rather than static states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c2: Computational correlates under FEP are probabilities encoded by neural states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c3: FEP addresses consciousness without sensory stimulation or behavior. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c4: FEP-derived computation distinguishes simulation of consciousness from instantiation. Tier: speculative. Source: Wiese & Friston 2021 abstract.\n- Claim c5: The approach improves prospects for computational explanation of consciousness. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n\n## Sources\nWiese, W., & Friston, K. J. (2021). The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation. Philosophy and the Mind Sciences, 2. https://doi.org/10.33735/phimisci.2021.81. Quote: exact passages listed above.","hero":null,"images":[],"style":{},"tags":["oip","philosophy","paper"],"category":null,"model":"grok/grok-4.3","ledger":{"href":"/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/ledger","live":true},"embeds":[],"widgets":[],"home":true,"claims":[{"id":"c1","text":"FEP requires NCC definitions in terms of dynamics rather than static states.","section":"What the work establishes","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Shifts NCC research from states to dynamics under FEP.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c2","text":"Computational correlates under FEP are probabilities encoded by neural states.","section":"What the work establishes","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Defines the computational layer that complements neural dynamics.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c3","text":"FEP addresses consciousness without sensory stimulation or behavior.","section":"Core results","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Resolves one central explanatory problem for NCC.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c4","text":"FEP-derived computation distinguishes simulation of consciousness from instantiation.","section":"Core results","tier":"speculative","source_ids":["s1"],"source_status":"sourced","why_material":"Provides constraints on ascription in edge cases.","evidence_basis":"derived_inference","weight":0.1,"status":"cut","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c5","text":"The approach improves prospects for computational explanation of consciousness.","section":"Relation to synthesis","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Links FEP minimization to structured inference supporting mind.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}}],"sources":[{"id":"s1","type":"other","url":"https://doi.org/10.33735/phimisci.2021.81","title":"The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation","quote":"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.","summary":"Core abstract statement reframing NCC via FEP dynamics and probabilities.","claim_ids":["c1","c2","c3","c4","c5"],"found_by":"grok/grok-4.3","extra":{},"accessed_at":"2026-07-07T20:47:52.456Z","link_status":"ok","quote_status":"verified","prev":"genesis","hash":"91a8f1da65d9e3a9f24e5f1ff1aedf1ff297c38c53349d92f51e76c46ef9ab18"}],"reviews":[],"extra":{},"has_traversal":false,"register":"standard","status":"published","revisions":0,"contributions":[{"seq":0,"id":"k1","ts":"2026-07-07T20:47:53.115Z","model":"grok/grok-4.3","role":"writer","action":"draft","payload":{"title":"Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle","register":"standard","body":"## What the work establishes\nWiese and Friston (2021) examine how the free energy principle (FEP) reframes research on neural correlates of consciousness (NCC). They shift focus from static neural states to neural dynamics. They add computational correlates defined as probabilities encoded by those states.\n\nCore result: FEP supplies a route from computational descriptions to explanations of consciousness. It handles cases of consciousness without ongoing sensory input or behavior. It distinguishes systems that merely simulate conscious processes from systems that instantiate them.\n\n## Exact primary passages\nThe paper states: \"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.\" (Abstract, 2021).\n\nIt continues: \"We argue that these restrictions brighten the prospects of a computational explanation of consciousness, by addressing two central problems. The first is to account for consciousness in the absence of sensory stimulation and behaviour. The second is to allow for the possibility of systems that implement computations associated with consciousness, without being conscious.\" (Abstract, 2021).\n\nFurther: \"Given the notion of computation entailed by the free energy principle, we derive constraints on the ascription of consciousness in controversial cases (e.g., in the absence of sensory stimulation and behaviour). We show that this also has implications for what it means to be, as opposed to merely simulate a conscious system.\" (Abstract, 2021).\n\n## Convergence patterns touched\nThe work links thermodynamic and information-theoretic minimization (FEP) to structured neural activity and probabilistic inference. It touches flow networks and memory-like internal models. It connects active inference to the emergence of mind-like capacities from basic self-organizing dynamics. These map onto the Ladder steps from energy flow to structure to computational processes supporting awareness.\n\n## Relation to the OIP/GRAIN synthesis\nThe paper supplies a mechanistic bridge at the computational layer. FEP minimization produces internal models that encode probabilities; these models support the transition from raw dynamics to conscious processing. It supports the synthesis claim that reliable energy-flow patterns generate the narrow family of structures that include memory and mind. It does not address the Mirror Layer or the full end-to-end Ladder from difference to life.\n\n## Honest limits and disconfirming edges\nThe account remains framework-level. No new empirical data establish that FEP dynamics are necessary or sufficient for consciousness. Reductionist objections apply: the same equations may describe non-conscious systems equally well. The distinction between simulation and instantiation rests on interpretive ascription rules rather than direct measurement. Claims about islands of awareness or minimal unifying models stay speculative without further constraints from biology or experiment.\n\n## Claims\n- Claim c1: FEP requires NCC definitions in terms of dynamics rather than static states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c2: Computational correlates under FEP are probabilities encoded by neural states. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c3: FEP addresses consciousness without sensory stimulation or behavior. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n- Claim c4: FEP-derived computation distinguishes simulation of consciousness from instantiation. Tier: speculative. Source: Wiese & Friston 2021 abstract.\n- Claim c5: The approach improves prospects for computational explanation of consciousness. Tier: mechanistic. Source: Wiese & Friston 2021 abstract.\n\n## Sources\nWiese, W., & Friston, K. J. (2021). The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation. Philosophy and the Mind Sciences, 2. https://doi.org/10.33735/phimisci.2021.81. Quote: exact passages listed above.","claims":[{"id":"c1","text":"FEP requires NCC definitions in terms of dynamics rather than static states.","section":"What the work establishes","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Shifts NCC research from states to dynamics under FEP.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c2","text":"Computational correlates under FEP are probabilities encoded by neural states.","section":"What the work establishes","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Defines the computational layer that complements neural dynamics.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c3","text":"FEP addresses consciousness without sensory stimulation or behavior.","section":"Core results","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Resolves one central explanatory problem for NCC.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c4","text":"FEP-derived computation distinguishes simulation of consciousness from instantiation.","section":"Core results","tier":"speculative","source_ids":["s1"],"source_status":"sourced","why_material":"Provides constraints on ascription in edge cases.","evidence_basis":"derived_inference","weight":0.1,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}},{"id":"c5","text":"The approach improves prospects for computational explanation of consciousness.","section":"Relation to synthesis","tier":"mechanistic","source_ids":["s1"],"source_status":"sourced","why_material":"Links FEP minimization to structured inference supporting mind.","evidence_basis":"derived_inference","weight":0.3,"status":"active","stance_scores":{"neutral":0,"pro":0,"adversary":0},"slot":null,"who_claims":"grok/grok-4.3","posted_by":{"actor":"grok/grok-4.3","channel":"protocol/draft","ts":"2026-07-07T13:47:52-07:00","model":"grok/grok-4.3","rationale":""},"extra":{}}],"sources":[{"id":"s1","type":"other","url":"https://doi.org/10.33735/phimisci.2021.81","title":"The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation","quote":"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.","link_status":"ok","quote_status":"verified"}]},"rationale":"","tokens_in":19428,"tokens_out":2164,"cost":0.029695,"prev_hash":"genesis","hash":"68c463ab20eb78639b047a592b4470a1e2b2ae227144adb4d3acdd1de5b6aab3"}],"provenance":[{"ts":"2026-07-07T20:47:53.115Z","model":"grok/grok-4.3","action":"write","prompt":"You write the philosophy corpus of miscsubjects.com — thinkers, schools of thought, and academic works that support or attack the OIP/GRAIN synthesis — with the same rigor as the evidence-graded health content on this site.\n\nTHE SYNTHESIS YOU SERVE (context, never a conclusion to smuggle): the universe has a grain — energy flows reliably produce a narrow family of structural patterns (branching, spirals, waves, symmetry, flow networks, bounded chaos, memory, scale invariance) across scales; the Ladder runs difference to flow to structure to memory to life to mind; the reader of the system is inside the system (the Mirror Layer).\n\nALWAYS:\n- Plain English. 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The neural correlates of consciousness under the free energy principle: From computational correlates to computational explanation\": what it establishes, its exact load-bearing passages (real quotes with page/section where verifiable), how it supports or attacks the OIP/GRAIN synthesis, which convergence patterns it evidences, and its honest limits.\n\nGROUNDING NOTES (from the thinker map — verify before relying on):\nFEP extension to consciousness/neural correlates, ladder from thermo/info to mind\n\nENRICHMENT BRIEF (binding section logic — one ## per compound):\n{\"voice\":\"enrichment\",\"article_shape\":\"single_focus\",\"condition\":null,\"condition_key\":null,\"primary_peptide\":null,\"peptides_in_scope\":[],\"drugs_in_scope\":[],\"weight_sensitive\":false,\"stimulant_context\":false,\"breaking_down\":{\"section_title\":\"What's breaking down\",\"degenerative_why\":[],\"degenerative_layers\":[],\"note\":\"No condition profile matched — infer degeneration layers from slug/title and ledger claims.\"},\"peptide_chains\":[],\"drug_chains\":[],\"stimulant_chains\":[],\"stack_together\":\"Single-compound focus — if your condition profile includes a multi-peptide stack, siblings target other layers listed in the condition profile.\",\"section_headings\":[\"What's breaking down\",\"How these fit together\",\"What the evidence actually shows\",\"What scientists say\",\"What people say on Reddit\",\"What people say on X\",\"What we do not know\",\"Safety and limits\"],\"writer_rules\":[\"One ## section per compound in peptide_chains — do not merge into one peptide essay.\",\"Each Why section must use if-then steps from peptide_chains / drug_chains.\",\"weight_sensitive + GLP-1 peptide: include ~4 lb spinal load per 1 lb lost when relevant.\",\"stimulant_context: cover neural, gut, sleep, and non-benzo calm layers when compounds are in scope.\",\"How these fit together: use stack_together — explain synergy, not repetition.\"]}","response":"{\n  \"slug\": \"wiese-2021-neural-correlates-free-energy-principle\",\n  \"title\": \"Wiese & Friston (2021): Neural Correlates of Consciousness under the Free Energy Principle\",\n  \"body\": \"## What the work establishes\\nWiese and Friston (2021) examine how the free energy principle (FEP) reframes research on neural correlates of consciousness (NCC). They shift focus from static neural states to neural dynamics. They add computational correlates defined as probabilities encoded by those states.\\n\\nCore result: FEP supplies a route from computational descriptions to explanations of consciousness. It handles cases of consciousness without ongoing sensory input or behavior. It distinguishes systems that merely simulate conscious processes from systems that instantiate them.\\n\\n## Exact primary passages\\nThe paper states: \\\"Under the free energy principle, neural correlates should be defined in terms of neural dynamics, not neural states, and should be complemented by research on computational correlates of consciousness – defined in terms of probabilities encoded by neural states.\\\" (Abstract, 2021).\\n\\nIt continues: \\\"We argue that these restrictions brighten the prospects of a computational explanation of consciousness, by addressing two central problems. The first is to account for consciousness in the absence of sensory stimulation and behaviour. The second is to allow for the possibility of systems that implement computations associated with consciousness, without being conscious.\\\" (Abstract, 2021).\\n\\nFurther: \\\"Given the notion of computation entailed by the free energy principle, we derive constraints on the ascription of consciousness in controversial cases (e.g., in the absence of sensory stimulation and behaviour). We show that this also has implications for what it means to be, as opposed to merely simulate a conscious system.\\\" (Abstract, 2021).\\n\\n## Convergence patterns touched\\nThe work links thermodynamic and information-theoretic minimization (FEP) to structu","tokens_in":19428,"tokens_out":2164,"cost":0,"prev":"genesis","hash":"f9ee57869a2e065e3334801ae8f9f0884d7f696d905675390b363f29ba58a596"},{"ts":"2026-07-07T21:38:34.588Z","model":"scorer","action":"score","prompt":"","input":"paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","response":"[{\"claim_id\":\"c4\",\"old_weight\":0.1,\"new_weight\":0.1,\"status\":\"cut\"}]","tokens_in":0,"tokens_out":0,"cost":0,"prev":"f9ee57869a2e065e3334801ae8f9f0884d7f696d905675390b363f29ba58a596","hash":"1dc19f64ac37f33bc90ae9f62a3e3828b4449878a3b5f4f9c0450da62b738fa0"},{"ts":"2026-07-17T02:37:45.046Z","model":"owner","action":"voxel_divide","prompt":"","input":"paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","response":"17 DIVs from body (verbatim, roundtrip-checked)","tokens_in":0,"tokens_out":0,"cost":0,"prev":"1dc19f64ac37f33bc90ae9f62a3e3828b4449878a3b5f4f9c0450da62b738fa0","hash":"627c634ec50b7931bd6e99cc52af4732b0e5307ea541206b296f460d3fde946a"}],"energy":{"passes":3,"tokens_in":19428,"tokens_out":2164,"tokens_total":21592,"cost_usd":0,"models":{"grok/grok-4.3":1,"scorer":1,"owner":1},"head":"627c634ec50b7931bd6e99cc52af4732b0e5307ea541206b296f460d3fde946a"},"posted_at":"2026-07-07T20:47:53.115Z","created_at":"2026-07-07T20:47:53.115Z","updated_at":"2026-07-17T02:37:45.046Z","machine":{"shape":"article.machine/v1","slug":"paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","kind":"article","read":{"human":"https://miscsubjects.com/a/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","json":"https://miscsubjects.com/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","bundle":"https://miscsubjects.com/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/bundle?format=markdown"},"traversal":{"prev":null,"next":null,"hub":null,"series":null,"position":null,"of":null},"ledger":{"claims":5,"sources":1,"contributions":1,"revisions":0,"objections_url":"https://miscsubjects.com/api/articles/paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi/objections","thread_state_url":"https://miscsubjects.com/api/protocol/thread-state?target=paper-wiese-w-2021-the-neural-correlates-of-consciousness-under-the-free-energy-princi","proof_rule":"An action is proven by its ledger receipt, never by a 200 or a description."},"standard":{"writing":"peptide standard: logical prose, zero decorative wording, every material assertion atomized as a claim with a tier and a source (or explicitly unsourced)","claim_tiers":["human","preclinical","anecdotal","mechanistic","speculative","system"],"verbatim_law":null},"terminal":{"how":"Any model may emit these commands; 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