Version history

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  1. Live f219622a4deb
    5/17/2026, 4:35:28 PM
    Content snapshot
    {
      "scope": "Mouse A1, awake; two-photon imaging + whole-cell + computational model",
      "claim_text": "Recurrent network dynamics in mouse primary auditory cortex (A1) shape direction selectivity by differentially amplifying inputs in the recurrent circuitry between preferred and non-preferred directions — not by classical feedforward temporal offsets.",
      "raw_fields": {
        "n": 0,
        "doi": "10.1038/s41467-020-20590-6",
        "claim": "Recurrent network dynamics in mouse primary auditory cortex (A1) shape direction selectivity by differentially amplifying inputs in the recurrent circuitry between preferred and non-preferred directions — not by classical feedforward temporal offsets.",
        "cite_key": "Aponte2021",
        "evidence": "Two-photon imaging and whole-cell recording in awake mouse A1 with frequency-modulated tone sweeps; biophysical model of recurrent A1 circuitry.",
        "effect_size": "asymmetry in excitatory postsynaptic charge between FM directions is enhanced within A1 (nonlinear amplification of thalamic input)",
        "text_access": "fulltext",
        "study_system": "Mouse A1, awake; two-photon imaging + whole-cell + computational model",
        "argument_role": "supporting",
        "replication_status": "within_lab",
        "claim_source_sentence": "In contrast to classical models, we found that direction selectivity is not caused by temporal offsets between feedforward synaptic inputs; rather, it is generated due to differential amplification of input signals in the recurrent circuitry between preferred and non-preferred directions.",
        "source_provenance_status": "ok",
        "replication_evidence_dois": [
          "10.1016/j.neuron.2017.06.019"
        ],
        "effect_size_source_sentence": "Our data indicate that the asymmetry in excitatory postsynaptic charge between FM directions is enhanced within A1, suggesting a nonlinear amplification of thalamic inputs in cortical circuitry."
      },
      "section_id": "section_09",
      "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json",
      "effect_size": "asymmetry in excitatory postsynaptic charge between FM directions is enhanced within A1 (nonlinear amplification of thalamic input)",
      "review_repo": "ComputationalReviewRecurrence",
      "section_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn",
      "source_kind": "review_finding",
      "source_path": "evidence/section_09_evidence_package.json",
      "source_refs": [
        "paper:paper-b6f844c72f1a"
      ],
      "source_span": "In contrast to classical models, we found that direction selectivity is not caused by temporal offsets between feedforward synaptic inputs; rather, it is generated due to differential amplification of input signals in the recurrent circuitry between preferred and non-preferred directions.",
      "study_system": "Mouse A1, awake; two-photon imaging + whole-cell + computational model",
      "evidence_refs": [
        {
          "ref": "paper:paper-b6f844c72f1a"
        }
      ],
      "section_title": "9. Physiological signature I — recurrent amplification of weak inputs in mouse cortex; balanced-amplification regimes; ISN operation",
      "source_policy": {
        "mode": "public_source_pointer_with_short_context",
        "notes": [
          "Local review repositories are read-only inputs.",
          "SciDEX stores paper metadata, structured evidence, file pointers, and short citation contexts; it does not copy full review prose."
        ],
        "source_commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
        "source_repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
      },
      "evidence_summary": "Two-photon imaging and whole-cell recording in awake mouse A1 with frequency-modulated tone sweeps; biophysical model of recurrent A1 circuitry.",
      "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9",
      "replication_status": "within_lab",
      "review_package_ref": "analysis_bundle:ab-d9c479db9be9",
      "source_artifact_ref": "wiki_page:computationalreviewrecurrence-09-amplification-isn",
      "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_09_evidence_package.json",
      "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f",
      "created_by": "persona-jerome-lecoq-gbo-neuroscience",
      "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence"
    }