Version history
1 version on record. Newest first; the live version sits at the top with a live indicator.
- Live5/17/2026, 4:35:28 PM
ece0e07544b5Content snapshot
{ "scope": "Mouse auditory cortex L5 pyramidal neurons (slice, STDP pairings)", "claim_text": "In mouse auditory cortex L5 neurons, excitatory synapses exhibit an asymmetric STDP time window with pairing-induced LTP, whereas inhibitory synapses onto the same cells potentiate symmetrically for any pre/post pairing within ~10 ms.", "raw_fields": { "n": 0, "doi": "10.1016/j.neuron.2015.03.014", "claim": "In mouse auditory cortex L5 neurons, excitatory synapses exhibit an asymmetric STDP time window with pairing-induced LTP, whereas inhibitory synapses onto the same cells potentiate symmetrically for any pre/post pairing within ~10 ms.", "cite_key": "Damour2015", "evidence": "STDP measured at excitatory and inhibitory inputs onto L5 mouse auditory cortex neurons showed an asymmetric Hebbian window for excitation versus a symmetric LTP window for inhibition; both required NMDARs.", "effect_size": "Symmetric ~10 ms window for inhibitory LTP", "text_access": "abstract_only", "study_system": "Mouse auditory cortex L5 pyramidal neurons (slice, STDP pairings)", "argument_role": "supporting", "replication_status": "replication_unknown", "claim_source_sentence": "Pairing pre- and postsynaptic spikes potentiated inhibitory inputs irrespective of precise temporal order within ∼10 ms. This was in contrast to excitatory inputs, which displayed an asymmetrical STDP time window.", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": "Pairing pre- and postsynaptic spikes potentiated inhibitory inputs irrespective of precise temporal order within ∼10 ms." }, "section_id": "section_12", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_12_evidence_package.json", "effect_size": "Symmetric ~10 ms window for inhibitory LTP", "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-12-plasticity", "source_kind": "review_finding", "source_path": "evidence/section_12_evidence_package.json", "source_refs": [ "paper:paper-7c6cf53ea9e2" ], "source_span": "Pairing pre- and postsynaptic spikes potentiated inhibitory inputs irrespective of precise temporal order within ∼10 ms. This was in contrast to excitatory inputs, which displayed an asymmetrical STDP time window.", "study_system": "Mouse auditory cortex L5 pyramidal neurons (slice, STDP pairings)", "evidence_refs": [ { "ref": "paper:paper-7c6cf53ea9e2" } ], "section_title": "12. Plasticity at E→E synapses in mouse — Hebbian, STDP, behavioural-time-scale plasticity; how plasticity shapes the recurrent matrix during learning", "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": "STDP measured at excitatory and inhibitory inputs onto L5 mouse auditory cortex neurons showed an asymmetric Hebbian window for excitation versus a symmetric LTP window for inhibition; both required NMDARs.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "replication_unknown", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-12-plasticity", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_12_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }