- claim_text
A new dynamic Zebra-noise stimulus combined with a wavelet-based analysis model enables rapid characterization of position, orientation, size, spatial frequency, drift rate and direction tuning for thousands of mouse-V1 neurons in just five minutes of stimulus (repeated three times) using two-photon calcium imaging — significantly extending the throughput envelope of feature-tuning measurements in mouse cortex.
- raw_fields
{
"n": 0,
"doi": "10.1167/jov.26.1.1",
"claim": "A new dynamic Zebra-noise stimulus combined with a wavelet-based analysis model enables rapid characterization of position, orientation, size, spatial frequency, drift rate and direction tuning for thousands of mouse-V1 neurons in just five minutes of stimulus (repeated three times) using two-photon calcium imaging — significantly extending the throughput envelope of feature-tuning measurements in mouse cortex.",
"cite_key": "Skriabine2026",
"evidence": "Stimulus + wavelet model comparison vs traditional stimuli; thousand-neuron-scale tuning measurements in mouse V1.",
"effect_size": "thousands of neurons tuned across 6 stimulus dimensions in 5 min × 3 repeats",
"text_access": "fulltext",
"study_system": "Awake mouse visual cortex, 2P calcium imaging",
"argument_role": "supporting",
"replication_status": "single-study-methods",
"claim_source_sentence": "The method proved efficient, requiring only 5 minutes of stimulus (repeated three times) to characterize the tuning of thousands of neurons across visual areas.",
"source_provenance_status": "ok",
"replication_evidence_dois": [],
"effect_size_source_sentence": "The method proved efficient, requiring only 5 minutes of stimulus (repeated three times) to characterize the tuning of thousands of neurons across visual areas."
}- source_refs
[
"paper:paper-e3ab0a91f3c5"
]
- evidence_refs
[
{
"ref": "paper:paper-e3ab0a91f3c5"
}
]- 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"
}