- claim_text
A review of genetically encoded fluorescent indicators of neuronal activity argues that the field's progress in mouse-cortex circuit interrogation has been bound primarily by indicator biophysics (kinetics, dynamic range, signal-to-noise) rather than optics — framing the methodological ceiling for any recurrent-circuit measurement that relies on fluorescence reporting.
- raw_fields
{
"n": 0,
"doi": "10.1038/nn.4359",
"claim": "A review of genetically encoded fluorescent indicators of neuronal activity argues that the field's progress in mouse-cortex circuit interrogation has been bound primarily by indicator biophysics (kinetics, dynamic range, signal-to-noise) rather than optics — framing the methodological ceiling for any recurrent-circuit measurement that relies on fluorescence reporting.",
"cite_key": "Lin2016",
"evidence": "Review of classes of fluorescent activity indicators emphasizing indicator-driven limits on in vivo recording fidelity.",
"effect_size": "qualitative review of GECI classes and their biophysical limits",
"text_access": "abstract_only",
"study_system": "Review (mammalian and nonmammalian indicators)",
"argument_role": "supporting",
"replication_status": "review",
"claim_source_sentence": "In this review, we describe and assess different classes of fluorescent protein indicators of neural activity.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": "creating improved technologies for large-scale recordings of neural activity in the live brain is a crucial goal in neuroscience."
}- source_refs
[
"paper:paper-1c782ef3dca9"
]
- evidence_refs
[
{
"ref": "paper:paper-1c782ef3dca9"
}
]- section_title
15. Methodological limits and emerging tools — what current mouse-cortex tools cannot yet measure about E→E recurrence (subthreshold network activity, fast plasticity in vivo, millimetre-scale dynamic connectomes), and what is on the near horizon
- 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"
}