- claim_text
Connectome-based multi-region cortical models for macaque and mouse predict that experimentally quantified across-area heterogeneity in synaptic excitation and inhibition produces functional modularity (inverted-V timescale pattern) during simulated working memory.
- raw_fields
{
"n": 0,
"doi": "10.1101/2023.06.04.543639",
"claim": "Connectome-based multi-region cortical models for macaque and mouse predict that experimentally quantified across-area heterogeneity in synaptic excitation and inhibition produces functional modularity (inverted-V timescale pattern) during simulated working memory.",
"cite_key": "Wang2023d",
"evidence": "Connectome-based large-scale rate-network models of macaque and mouse cortex incorporating area-by-area E/I heterogeneity, simulating a delayed-response task.",
"effect_size": "qualitative",
"text_access": "abstract_only",
"study_system": "connectome-based multi-region rate models of macaque and mouse neocortex",
"argument_role": "supporting",
"replication_status": "replication_unknown",
"claim_source_sentence": "Our theory starts with a departure from the canonical local circuit principle [5] by highlighting differences between cortical areas in the form of experimentally quantified heterogeneities of synaptic excitation and inhibition.",
"source_provenance_status": "non_substring_match",
"replication_evidence_dois": [],
"effect_size_source_sentence": null
}- source_refs
[
"paper:paper-6a73fd2462f1"
]
- evidence_refs
[
{
"ref": "paper:paper-6a73fd2462f1"
}
]- 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"
}