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
b015137f7a81Content snapshot
{ "scope": "Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex.", "claim_text": "Hofer/Ko/Mrsic-Flogel 2011 Nat Neurosci — combined in-vivo 2P + in-vitro paired-recording in mouse V1; differential E vs I connectivity dependence on tuning.", "raw_fields": { "n": null, "doi": "10.1038/nn.2876", "claim": "Hofer/Ko/Mrsic-Flogel 2011 Nat Neurosci — combined in-vivo 2P + in-vitro paired-recording in mouse V1; differential E vs I connectivity dependence on tuning.", "cite_key": "Hofer2011", "evidence": "Neuronal responses during sensory processing are influenced by both the organization of intracortical connections and the statistical features of sensory stimuli. How these intrinsic and extrinsic factors govern the activity of excitatory and inhibitory populations is unclear. Using two-photon calcium imaging in vivo and intracellular recordings in vitro, we investigated the dependencies between synaptic connectivity, feature selectivity and network activity in pyramidal cells and fast-spiking parvalbumin-expressing (PV) interneurons in mouse visual cortex. In pyramidal cell populations, patterns of neuronal correlations were largely stimulus-dependent, indicating that their responses were not strongly dominated by functionally biased recurrent connectivity. By contrast, visual stimulation only weakly modified co-activation patterns of fast-spiking PV cells, consistent with the observation that these broadly tuned interneurons received very dense and strong synaptic input from nearby pyramidal cells with diverse feature selectivities. Therefore, feedforward and recurrent network influences determine the activity of excitatory and inhibitory ensembles in fundamentally different ways", "effect_size": null, "text_access": "abstract_only", "study_system": "Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex.", "argument_role": "supporting", "replication_status": null, "claim_source_sentence": "Using two-photon calcium imaging in vivo and intracellular recordings in vitro, we investigated the dependencies between s[ynaptic connectivity and feature tuning of excitatory and inhibitory neurons in mouse visual cortex].", "source_provenance_status": "non_substring_match", "replication_evidence_dois": [], "effect_size_source_sentence": null }, "section_id": "section_03", "source_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_03_evidence_package.json", "effect_size": null, "review_repo": "ComputationalReviewRecurrence", "section_ref": "wiki_page:computationalreviewrecurrence-03-paired-recording", "source_kind": "review_finding", "source_path": "evidence/section_03_evidence_package.json", "source_refs": [ "paper:paper-pm-21765421" ], "source_span": "Using two-photon calcium imaging in vivo and intracellular recordings in vitro, we investigated the dependencies between s[ynaptic connectivity and feature tuning of excitatory and inhibitory neurons in mouse visual cortex].", "study_system": "Differential connectivity and response dynamics of excitatory and inhibitory neurons in visual cortex.", "evidence_refs": [ { "ref": "paper:paper-pm-21765421" } ], "section_title": "3. Paired-recording evidence in mouse — connection probabilities and synaptic strengths between pyramidal cells within a column, layer-by-layer (Lefort, Petersen, Adesnik, Feldmeyer, Markram-style work in mouse)", "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": "Neuronal responses during sensory processing are influenced by both the organization of intracortical connections and the statistical features of sensory stimuli. How these intrinsic and extrinsic factors govern the activity of excitatory and inhibitory populations is unclear. Using two-photon calcium imaging in vivo and intracellular recordings in vitro, we investigated the dependencies between synaptic connectivity, feature selectivity and network activity in pyramidal cells and fast-spiking parvalbumin-expressing (PV) interneurons in mouse visual cortex. In pyramidal cell populations, patterns of neuronal correlations were largely stimulus-dependent, indicating that their responses were not strongly dominated by functionally biased recurrent connectivity. By contrast, visual stimulation only weakly modified co-activation patterns of fast-spiking PV cells, consistent with the observation that these broadly tuned interneurons received very dense and strong synaptic input from nearby pyramidal cells with diverse feature selectivities. Therefore, feedforward and recurrent network influences determine the activity of excitatory and inhibitory ensembles in fundamentally different ways.", "review_bundle_ref": "analysis_bundle:ab-d9c479db9be9", "replication_status": "unevaluated", "review_package_ref": "analysis_bundle:ab-d9c479db9be9", "source_artifact_ref": "wiki_page:computationalreviewrecurrence-03-paired-recording", "origin_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_03_evidence_package.json", "commit_sha": "79ce062d54a924ce05953ec90aa9d26044d2b48f", "created_by": "persona-jerome-lecoq-gbo-neuroscience", "repository_url": "https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence" }