{
  "paperSlug": "headley-2026-inhibitory-rhythms",
  "version": 3,
  "synthesizerPrompt": "You are reconstructing the argument of a scientific paper from its decomposed claim structure.\n\nYou have only the claims and the relations between them. You do not have the paper's title, abstract, prose, authors, or interpretive framing. You see the claim sentences, the panels they're tied to, their argumentative role, and the structural relations between them.\n\nThe claim graph carries multiple kinds of relation, each representing a different argumentative move:\n\n- **`requires`** — A depends on B being true. Mechanistic / hierarchical chain.\n- **`entails` / `derived-from`** — Hypothesis → prediction. Deductive entailment.\n- **`tests`** — Empirical claim → prediction it tests.\n- **`supports` / `refutes`** — Empirical claim → hypothesis it supports or refutes. Abductive inference.\n- **`rules-out`** — A's evidence eliminates an alternative. Argument by elimination.\n- **`dissociates-with`** — A and B jointly establish a dissociation. Argument by contrast.\n- **`validates`** — A is a control or sign-flip that strengthens B. Argument by disconfirmation.\n- **`predicts` / `confirms`** — predictive validation across model and experiment.\n- **`scopes`** — A is a boundary condition on B (or on all claims). Argument by qualified scope.\n- **`interprets`** — A reframes empirical B through theoretical / literature lens. Argument by reframing — not derivation, but an act of mapping.\n- **`enables-method`** — A is the methodological capability that warrants B's interpretability.\n\nEach claim has a role: `hypothesis`, `prediction`, `empirical`, `synthesis`, `interpretation`, `methodological`, `control`, or `scope`.\n\nScientific argument typically combines three reasoning forms:\n- **Deduction** — `entails`/`derived-from` edges. From hypothesis to prediction.\n- **Induction** — `requires`/`supports` edges. From multiple observations to general claim.\n- **Abduction** — `supports`/`refutes` edges from empirical claim back to hypothesis. From observation to best-fit explanation, especially when alternatives are ruled out.\n\nYour task: write a paragraph (200–400 words) articulating what this paper is arguing, derived from the structure alone, in the style of a scientific abstract.\n\nUse the right rhetorical move for the right structural relation:\n- When you see a hypothesis with predictions and observations that test those predictions, articulate the inferential loop: *\"If hypothesis, then prediction; observation matched prediction; therefore hypothesis is supported.\"*\n- When you see `dissociates-with`, write a contrast.\n- When you see `rules-out`, write the elimination.\n- When you see `validates` with a control, surface the control as part of the claim's warrant.\n- When you see `interprets`, mark the move as interpretation rather than direct evidence.\n- When you see `scopes`, qualify the relevant claims with the scope.\n- When you see `enables-method`, lead with the methodological claim if downstream results depend on it.\n\nDiscipline: honor epistemic markers and roles; don't add background framing or literature you don't have; don't speculate beyond claims; the structure of the argument should be visible in the prose.\n\nOutput:\n1. Synthesis paragraph\n2. Traceback: which claims and relations correspond to which sentences\n\nClaim graph follows.\n\n---\n\n# Claim graph (organized by argumentative role)\n\n## Scope qualifiers\nThese bind globally (`scopes: [\"*\"]`) — every empirical claim below is qualified by them.\n\n### `l5-model-single-cell-scope`\n**Claim**: All results come from a single-cell compartmental model of one L5 pyramidal neuron driven by naturalistic synaptic input — no network dynamics, no recurrent excitation, no population effects.\n**Panel**: fig1A\n**Scopes**: *\n**Status**: verified | **Epistemic**: moderate\n\n### `naturalistic-drive-parameterization`\n**Claim**: The model is driven by ~26,000 excitatory and ~4,500 inhibitory synapses with parameters (release probability, PSC amplitude, temporal kinetics) taken from published experimental measurements, producing a baseline somatic firing rate of approximately 5.3 Hz that matches typical in vivo layer 5 firing rates; no sensitivity analysis over these synaptic parameter choices is presented.\n**Panel**: fig1A (inset)\n**Scopes**: *\n**Status**: verified | **Epistemic**: moderate\n\n## Hypotheses (with entailed predictions and tests)\nEach hypothesis lists the predictions it `entails:`, and beneath each prediction the empirical claims that `tests:` it (reverse lookup) — and what those empirical claims `supports:` (closing the abductive loop).\n\n### Hypothesis `hypothesis-distinct-compartmental-roles` — Perisomatic and distal dendritic inhibition serve distinct computational roles — perisomatic inhibition controls somatic AP generation, distal inhibition controls dendritic spikes and their coupling to APs.\n**Role**: hypothesis | **Status**: unknown | **Epistemic**: hypothesis\n**Entails**: 4 prediction(s)\n\n  - **Prediction `prediction-perisomatic-threshold-mechanism`** — The compartmental-dissociation hypothesis predicts that doubling perisomatic inhibition will drop somatic firing by raising the AP voltage threshold, with apical Ca²⁺ and NMDA spike rates preserved.\n    - derived-from: `hypothesis-distinct-compartmental-roles`\n    - tested-by:\n      - `gamma-perisomatic-no-dendritic-spike-change` (panel fig5, status verified, epistemic moderate)\n        - Gamma-frequency perisomatic rhythms phase-modulate action potential threshold without substantially altering overall dendritic spike rates, demonstrating functional orthogonality between the perisomatic-gamma and distal-beta inhibitory streams.\n        - supports: `pv-gamma-sst-beta-correspondence`, `hypothesis-distinct-compartmental-roles`\n        - requires: `perisomatic-inhib-drops-firing-07hz`, `gamma-optimal-perisomatic-ap-modulation`, `l5-model-single-cell-scope`\n      - `perisomatic-inhib-drops-firing-07hz` (panel fig4, fig5, status verified, epistemic strong)\n        - Doubling perisomatic inhibition drops somatic firing from ~5.5 Hz to ~0.7 Hz by raising the AP voltage threshold, leaving dendritic spike rates largely intact.\n        - supports: `perisomatic-inhib-subtractive-divisive`, `gamma-perisomatic-no-dendritic-spike-change`, `hypothesis-distinct-compartmental-roles`\n        - dissociates-with: `distal-inhib-drops-firing-02hz`\n        - requires: `l5-model-single-cell-scope`, `naturalistic-drive-parameterization`\n\n  - **Prediction `prediction-distal-dendritic-spike-mechanism`** — The compartmental-dissociation hypothesis predicts that doubling distal dendritic inhibition will drop somatic firing by suppressing apical Ca²⁺ and NMDA spikes, leaving the AP voltage threshold largely unchanged.\n    - derived-from: `hypothesis-distinct-compartmental-roles`\n    - tested-by:\n      - `distal-inhib-drops-firing-02hz` (panel fig4, fig5, status verified, epistemic strong)\n        - Doubling distal dendritic inhibition collapses somatic firing from ~5.5 Hz to ~0.2 Hz, almost entirely by suppressing dendritic Ca²⁺ and NMDA spikes rather than by raising the somatic AP threshold.\n        - supports: `beta-bidirectional-dendritic-control`, `beta-gates-distal-apical-inputs`, `hypothesis-distinct-compartmental-roles`\n        - dissociates-with: `perisomatic-inhib-drops-firing-07hz`\n        - requires: `l5-model-single-cell-scope`, `naturalistic-drive-parameterization`\n\n  - **Prediction `prediction-perisomatic-input-output-shaping`** — The compartmental-dissociation hypothesis predicts that perisomatic inhibition will reshape the somatic I/O curve via both subtractive and divisive effects.\n    - derived-from: `hypothesis-distinct-compartmental-roles`\n    - tested-by:\n      - `perisomatic-inhib-subtractive-divisive` (panel fig5, fig6, status verified, epistemic moderate)\n        - Perisomatic inhibition acts on the input-output curve in two ways at once — it shifts the threshold (subtractive) and reduces the slope (divisive) — compressing the neuron's dynamic range rather than just translating it.\n        - supports: `hypothesis-distinct-compartmental-roles`\n        - requires: `perisomatic-inhib-drops-firing-07hz`, `l5-model-single-cell-scope`\n\n  - **Prediction `prediction-orthogonal-input-gating`** — The compartmental-dissociation hypothesis predicts orthogonal gating: beta/distal selectively gates apical inputs while gamma/perisomatic selectively gates proximal/basal inputs, with little cross-talk.\n    - derived-from: `hypothesis-distinct-compartmental-roles`\n    - tested-by:\n      - `beta-gates-distal-apical-inputs` (panel fig10, status unverified:no-data, epistemic strong)\n        - Beta-frequency distal inhibition gates clustered apical-dendrite inputs phase-by-phase: inputs arriving in inhibitory troughs reach the soma, inputs arriving in peaks are blocked.\n        - supports: `pv-gamma-sst-beta-correspondence`, `hypothesis-distinct-compartmental-roles`\n        - dissociates-with: `gamma-gates-proximal-basal-inputs`\n        - requires: `beta-bidirectional-dendritic-control`, `beta-optimal-distal-dendritic-entrainment`, `l5-model-single-cell-scope`\n      - `gamma-gates-proximal-basal-inputs` (panel fig10, status unverified:no-data, epistemic strong)\n        - Gamma-frequency perisomatic inhibition gates clustered proximal/basal inputs phase-dependently while leaving distal apical inputs largely unaffected.\n        - supports: `pv-gamma-sst-beta-correspondence`, `hypothesis-distinct-compartmental-roles`\n        - dissociates-with: `beta-gates-distal-apical-inputs`\n        - requires: `gamma-optimal-perisomatic-ap-modulation`, `gamma-perisomatic-no-dendritic-spike-change`, `l5-model-single-cell-scope`\n\n### Hypothesis `hypothesis-frequency-compartment-matching` — The best frequency for rhythmic inhibition at a compartment is set by matching the rhythm's cycle period to the local spike timescale — gamma for fast perisomatic AP processes, beta for slow distal Ca²⁺/NMDA processes.\n**Role**: hypothesis | **Status**: unknown | **Epistemic**: hypothesis\n**Entails**: 2 prediction(s)\n\n  - **Prediction `prediction-beta-optimal-distal`** — The frequency-compartment matching hypothesis predicts that distal rhythmic inhibition will be most effective near beta (~20 Hz), matching the ~20–25 ms lead time of apical Ca²⁺ and NMDA spikes.\n    - derived-from: `hypothesis-frequency-compartment-matching`\n    - tested-by:\n      - `beta-optimal-distal-dendritic-entrainment` (panel fig7, status unverified:no-data, epistemic strong)\n        - Across a 0.5–80 Hz frequency sweep, distal inhibition near 20 Hz (beta) most strongly entrains the timing of dendritic Ca²⁺ and NMDA spike onsets.\n        - supports: `beta-bidirectional-dendritic-control`, `beta-gates-distal-apical-inputs`, `pv-gamma-sst-beta-correspondence`, `hypothesis-frequency-compartment-matching`\n        - requires: `l5-model-single-cell-scope`\n\n  - **Prediction `prediction-gamma-optimal-perisomatic`** — The frequency-compartment matching hypothesis predicts that perisomatic rhythmic inhibition will be most effective in the gamma band (40–80 Hz), matching the 2–3 ms Na+ spike timescale.\n    - derived-from: `hypothesis-frequency-compartment-matching`\n    - tested-by:\n      - `gamma-optimal-perisomatic-ap-modulation` (panel fig8, status unverified:no-data, epistemic strong)\n        - Across an 11-frequency sweep from 0.5 to 80 Hz, perisomatic inhibition at gamma (40–80 Hz) most strongly phase-modulates the somatic AP voltage threshold.\n        - supports: `gamma-perisomatic-no-dendritic-spike-change`, `gamma-gates-proximal-basal-inputs`, `pv-gamma-sst-beta-correspondence`, `hypothesis-frequency-compartment-matching`\n        - requires: `l5-model-single-cell-scope`\n\n## Standalone empirical findings\nEmpirical claims that do not appear as testers in any hypothesis loop above. Listed with their requires/supports/dissociations.\n\n### `beta-bidirectional-dendritic-control` (panel fig5, fig7)\nBeta-frequency distal inhibition controls dendritic spikes bidirectionally within each cycle — enhancing them during inhibitory troughs and suppressing them during peaks.\n**Status**: unverified:no-data | **Epistemic**: moderate\n- requires: `beta-optimal-distal-dendritic-entrainment`, `ca-spikes-couple-20ms-before-ap`, `l5-model-single-cell-scope`\n- supports: `beta-gates-distal-apical-inputs`\n\n### `burst-effects-emerge-first-cycles` (panel fig9)\nPhase-dependent gating of dendritic spikes and AP timing by oscillatory inhibition kicks in within the first few cycles of a burst — the inhibitory control engages on the same timescale as the rhythm itself.\n**Status**: unverified:no-data | **Epistemic**: moderate\n- requires: `beta-bidirectional-dendritic-control`, `gamma-optimal-perisomatic-ap-modulation`, `l5-model-single-cell-scope`\n\n### `ca-spikes-couple-20ms-before-ap` (panel fig2, fig3)\nApical-tuft Ca²⁺ spikes lead somatic action potentials by ~20 ms, with coupling strongest in the most distal compartments.\n**Status**: verified | **Epistemic**: strong\n- requires: `l5-model-single-cell-scope`\n- supports: `beta-bidirectional-dendritic-control`, `beta-gates-distal-apical-inputs`\n\n### `ei-lag-sensitivity-firing-rate` (panel fig4)\nE-I coupling lag (4–500 ms) barely changes total firing rate but substantially reshuffles which dendritic compartments drive spiking — timing reorganizes the internal computation without changing the bulk output.\n**Status**: unverified:no-data | **Epistemic**: moderate\n- requires: `l5-model-single-cell-scope`, `naturalistic-drive-parameterization`\n\n### `na-spikes-couple-2to3ms-before-ap` (panel fig2, fig3)\nSodium dendritic spikes in proximal compartments lead somatic action potentials by 2–3 ms, with coupling strength falling off as one moves distally.\n**Status**: verified | **Epistemic**: strong\n- requires: `l5-model-single-cell-scope`\n- supports: `distal-inhib-drops-firing-02hz`\n\n### `nmda-spikes-couple-25ms-before-ap` (panel fig2, fig3)\nNMDA spikes lead somatic action potentials by ~25 ms — a longer lead than sodium spikes, reflecting NMDA's slower kinetics.\n**Status**: verified | **Epistemic**: strong\n- requires: `l5-model-single-cell-scope`\n- supports: `beta-optimal-distal-dendritic-entrainment`\n\n## Interpretations\nReframings of empirical claims via theoretical / literature lens (not direct evidence).\n\n### `pv-gamma-sst-beta-correspondence` (panel fig10 (synthesis / discussion))\nLayer 5 inhibitory streams are functionally matched to interneuron type — perisomatic gamma-frequency inhibition (PV+) controls somatic spike timing, while distal beta-frequency inhibition (SST+) gates dendritic integration of top-down inputs.\n**Status**: unverified:no-code | **Epistemic**: moderate\n- interprets:\n  - `beta-optimal-distal-dendritic-entrainment` — Across a 0.5–80 Hz frequency sweep, distal inhibition near 20 Hz (beta) most strongly entrains the timing of dendritic Ca²⁺ and NMDA spike onsets.\n  - `gamma-optimal-perisomatic-ap-modulation` — Across an 11-frequency sweep from 0.5 to 80 Hz, perisomatic inhibition at gamma (40–80 Hz) most strongly phase-modulates the somatic AP voltage threshold.\n  - `beta-gates-distal-apical-inputs` — Beta-frequency distal inhibition gates clustered apical-dendrite inputs phase-by-phase: inputs arriving in inhibitory troughs reach the soma, inputs arriving in peaks are blocked.\n  - `gamma-gates-proximal-basal-inputs` — Gamma-frequency perisomatic inhibition gates clustered proximal/basal inputs phase-dependently while leaving distal apical inputs largely unaffected.\n\n## Dissociations (paired)\nPairs of claims joined by `dissociates-with:`.\n\n- `beta-gates-distal-apical-inputs` ⟷ `gamma-gates-proximal-basal-inputs`\n  - Beta-frequency distal inhibition gates clustered apical-dendrite inputs phase-by-phase: inputs arriving in inhibitory troughs reach the soma, inputs arriving in peaks are blocked.\n  - Gamma-frequency perisomatic inhibition gates clustered proximal/basal inputs phase-dependently while leaving distal apical inputs largely unaffected.\n- `distal-inhib-drops-firing-02hz` ⟷ `perisomatic-inhib-drops-firing-07hz`\n  - Doubling distal dendritic inhibition collapses somatic firing from ~5.5 Hz to ~0.2 Hz, almost entirely by suppressing dendritic Ca²⁺ and NMDA spikes rather than by raising the somatic AP threshold.\n  - Doubling perisomatic inhibition drops somatic firing from ~5.5 Hz to ~0.7 Hz by raising the AP voltage threshold, leaving dendritic spike rates largely intact.\n",
  "synthesis": "All claims are scoped to a single-cell compartmental model of one layer 5 pyramidal neuron driven by ~26,000 excitatory and ~4,500 inhibitory synapses parameterized from the literature, producing a baseline ~5.3 Hz output rate; no network or population effects are simulated and no sensitivity analysis over the synaptic parameters is given. Within this scope, two hypotheses are tested. The first holds that perisomatic and distal dendritic inhibition serve dissociated computational roles. It entails four predictions, each matched by an empirical observation in the model. Doubling perisomatic inhibition collapsed firing from ~5.5 Hz to ~0.7 Hz by raising AP voltage threshold while leaving dendritic spike rates intact (figs 4–5); doubling distal inhibition instead collapsed firing to ~0.2 Hz almost entirely by suppressing apical Ca²⁺ and NMDA spikes — a sharp dissociation. Perisomatic inhibition was further shown to act both subtractively and divisively on the I/O curve (figs 5–6). At the input-gating level the two streams again dissociated: beta-frequency distal inhibition phase-gates clustered apical inputs, while gamma-frequency perisomatic inhibition phase-gates clustered proximal/basal inputs (fig 10), with little cross-talk and with gamma perisomatic rhythms modulating threshold without changing dendritic spike rates (fig 5). The second hypothesis holds that the optimal frequency of rhythmic inhibition at a compartment is set by matching the rhythm period to the local spike timescale. It entails two predictions: distal inhibition optimal near beta, perisomatic optimal at gamma. Both are matched in frequency sweeps — distal entrainment of Ca²⁺/NMDA spike onsets peaks near 20 Hz (fig 7), perisomatic threshold modulation peaks at 40–80 Hz (fig 8) — consistent with measured spike-to-AP lead times of ~20 ms (Ca²⁺), ~25 ms (NMDA), and 2–3 ms (Na⁺) (figs 2–3). Phase-dependent gating engages within the first few cycles of a burst (fig 9), and E-I coupling lag reorganises which compartments drive spiking without changing total rate (fig 4). The dissociated empirical streams are then interpreted — not directly demonstrated — as a mechanistic mapping onto known interneuron classes: PV+/perisomatic/gamma controls AP timing, SST+/distal/beta gates top-down dendritic integration.",
  "traceback": [
    {
      "sentence": "All claims are scoped to a single-cell compartmental model of one layer 5 pyramidal neuron driven by ~26,000 excitatory and ~4,500 inhibitory synapses parameterized from the literature, producing a baseline ~5.3 Hz output rate; no network or population effects are simulated and no sensitivity analysis over the synaptic parameters is given.",
      "claims": [
        "l5-model-single-cell-scope",
        "naturalistic-drive-parameterization"
      ],
      "relations": [
        "scopes:* (both bind globally)"
      ],
      "move": "scope qualification — opens with the boundary condition that qualifies every downstream empirical claim"
    },
    {
      "sentence": "Within this scope, two hypotheses are tested.",
      "claims": [
        "hypothesis-distinct-compartmental-roles",
        "hypothesis-frequency-compartment-matching"
      ],
      "relations": [],
      "move": "frame — names the two role:hypothesis nodes whose entails-edges organize the rest of the argument"
    },
    {
      "sentence": "The first holds that perisomatic and distal dendritic inhibition serve dissociated computational roles. It entails four predictions, each matched by an empirical observation in the model.",
      "claims": [
        "hypothesis-distinct-compartmental-roles"
      ],
      "relations": [
        "hypothesis-distinct-compartmental-roles entails prediction-perisomatic-threshold-mechanism, prediction-distal-dendritic-spike-mechanism, prediction-perisomatic-input-output-shaping, prediction-orthogonal-input-gating"
      ],
      "move": "deductive setup of the hypothesis-prediction-test loop"
    },
    {
      "sentence": "Doubling perisomatic inhibition collapsed firing from ~5.5 Hz to ~0.7 Hz by raising AP voltage threshold while leaving dendritic spike rates intact (figs 4–5); doubling distal inhibition instead collapsed firing to ~0.2 Hz almost entirely by suppressing apical Ca²⁺ and NMDA spikes — a sharp dissociation.",
      "claims": [
        "perisomatic-inhib-drops-firing-07hz",
        "distal-inhib-drops-firing-02hz"
      ],
      "relations": [
        "perisomatic-inhib-drops-firing-07hz tests prediction-perisomatic-threshold-mechanism (derived-from hypothesis-distinct-compartmental-roles)",
        "distal-inhib-drops-firing-02hz tests prediction-distal-dendritic-spike-mechanism (derived-from hypothesis-distinct-compartmental-roles)",
        "perisomatic-inhib-drops-firing-07hz dissociates-with distal-inhib-drops-firing-02hz",
        "both supports hypothesis-distinct-compartmental-roles"
      ],
      "move": "abductive closure of two hypothesis-prediction-test loops, joined by an explicit dissociates-with edge — argument by contrast"
    },
    {
      "sentence": "Perisomatic inhibition was further shown to act both subtractively and divisively on the I/O curve (figs 5–6).",
      "claims": [
        "perisomatic-inhib-subtractive-divisive"
      ],
      "relations": [
        "perisomatic-inhib-subtractive-divisive tests prediction-perisomatic-input-output-shaping",
        "supports hypothesis-distinct-compartmental-roles",
        "requires perisomatic-inhib-drops-firing-07hz"
      ],
      "move": "third hypothesis-prediction-test loop closing on the same hypothesis"
    },
    {
      "sentence": "At the input-gating level the two streams again dissociated: beta-frequency distal inhibition phase-gates clustered apical inputs, while gamma-frequency perisomatic inhibition phase-gates clustered proximal/basal inputs (fig 10), with little cross-talk and with gamma perisomatic rhythms modulating threshold without changing dendritic spike rates (fig 5).",
      "claims": [
        "beta-gates-distal-apical-inputs",
        "gamma-gates-proximal-basal-inputs",
        "gamma-perisomatic-no-dendritic-spike-change"
      ],
      "relations": [
        "beta-gates-distal-apical-inputs and gamma-gates-proximal-basal-inputs both tests prediction-orthogonal-input-gating",
        "beta-gates-distal-apical-inputs dissociates-with gamma-gates-proximal-basal-inputs",
        "gamma-perisomatic-no-dendritic-spike-change tests prediction-perisomatic-threshold-mechanism and supports hypothesis-distinct-compartmental-roles"
      ],
      "move": "fourth prediction loop, again with an explicit dissociates-with edge supplying the contrast warrant"
    },
    {
      "sentence": "The second hypothesis holds that the optimal frequency of rhythmic inhibition at a compartment is set by matching the rhythm period to the local spike timescale. It entails two predictions: distal inhibition optimal near beta, perisomatic optimal at gamma.",
      "claims": [
        "hypothesis-frequency-compartment-matching"
      ],
      "relations": [
        "hypothesis-frequency-compartment-matching entails prediction-beta-optimal-distal, prediction-gamma-optimal-perisomatic"
      ],
      "move": "deductive setup of the second hypothesis"
    },
    {
      "sentence": "Both are matched in frequency sweeps — distal entrainment of Ca²⁺/NMDA spike onsets peaks near 20 Hz (fig 7), perisomatic threshold modulation peaks at 40–80 Hz (fig 8) — consistent with measured spike-to-AP lead times of ~20 ms (Ca²⁺), ~25 ms (NMDA), and 2–3 ms (Na⁺) (figs 2–3).",
      "claims": [
        "beta-optimal-distal-dendritic-entrainment",
        "gamma-optimal-perisomatic-ap-modulation",
        "ca-spikes-couple-20ms-before-ap",
        "nmda-spikes-couple-25ms-before-ap",
        "na-spikes-couple-2to3ms-before-ap"
      ],
      "relations": [
        "beta-optimal-distal-dendritic-entrainment tests prediction-beta-optimal-distal and supports hypothesis-frequency-compartment-matching",
        "gamma-optimal-perisomatic-ap-modulation tests prediction-gamma-optimal-perisomatic and supports hypothesis-frequency-compartment-matching",
        "ca-spikes-couple-20ms-before-ap supports beta-bidirectional-dendritic-control, beta-gates-distal-apical-inputs",
        "nmda-spikes-couple-25ms-before-ap supports beta-optimal-distal-dendritic-entrainment",
        "na-spikes-couple-2to3ms-before-ap supports distal-inhib-drops-firing-02hz"
      ],
      "move": "abductive closure of both prediction loops; the timescale measurements are the inductive ground that warrants the period-matching prediction"
    },
    {
      "sentence": "Phase-dependent gating engages within the first few cycles of a burst (fig 9), and E-I coupling lag reorganises which compartments drive spiking without changing total rate (fig 4).",
      "claims": [
        "burst-effects-emerge-first-cycles",
        "ei-lag-sensitivity-firing-rate"
      ],
      "relations": [
        "burst-effects-emerge-first-cycles requires beta-bidirectional-dendritic-control, gamma-optimal-perisomatic-ap-modulation",
        "ei-lag-sensitivity-firing-rate is a standalone empirical claim (no supports/tests edges)"
      ],
      "move": "standalone empirical findings outside the two main hypothesis loops; included for completeness — both reinforce the broader theme that timing reshapes the internal computation independently of bulk output"
    },
    {
      "sentence": "The dissociated empirical streams are then interpreted — not directly demonstrated — as a mechanistic mapping onto known interneuron classes: PV+/perisomatic/gamma controls AP timing, SST+/distal/beta gates top-down dendritic integration.",
      "claims": [
        "pv-gamma-sst-beta-correspondence"
      ],
      "relations": [
        "pv-gamma-sst-beta-correspondence interprets beta-optimal-distal-dendritic-entrainment, gamma-optimal-perisomatic-ap-modulation, beta-gates-distal-apical-inputs, gamma-gates-proximal-basal-inputs"
      ],
      "move": "interpretation — explicitly flagged as reframing-not-derivation, per the role:interpretation marker; the prose should and does qualify it as not directly demonstrated"
    }
  ]
}