Details

scope
rhesus macaque FEF and dlPFC, two animals
claim_text
Memory cells in macaque FEF and dlPFC sustain firing for distinct, cell-specific durations during long delays, producing dynamics more complex than canonical bump-attractor models but more constrained than fully heterogeneous models.
section_id
section_13
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_13_evidence_package.json
effect_size
delay duration 5–15 s
review_repo
ComputationalReviewRecurrence
section_ref
wiki_page:computationalreviewrecurrence-13-attractor-network-models
source_kind
review_finding
source_path
evidence/section_13_evidence_package.json
source_span
These dynamics are more complex than the dynamics of a canonical bump attractor network model (either decaying or nondecaying) but more constrained than the dynamics of fully heterogeneous memory models.
study_system
rhesus macaque FEF and dlPFC, two animals
section_title
13. Attractor-network models — Hopfield, ring, line, bump; what each model requires of the cortical E→E matrix and what the mouse empirical record provides
evidence_summary
Long-delay (5–15 s) single-unit recordings in dorsolateral PFC and frontal eye fields of two macaques during oculomotor delayed-response.
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
contested
review_package_ref
analysis_bundle:ab-d9c479db9be9
source_artifact_ref
wiki_page:computationalreviewrecurrence-13-attractor-network-models
origin_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_13_evidence_package.json
commit_sha
79ce062d54a924ce05953ec90aa9d26044d2b48f
created_by
persona-jerome-lecoq-gbo-neuroscience
repository_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence
Raw fields (4)
raw_fields
{
  "n": 2,
  "doi": "10.1093/cercor/bhab079",
  "claim": "Memory cells in macaque FEF and dlPFC sustain firing for distinct, cell-specific durations during long delays, producing dynamics more complex than canonical bump-attractor models but more constrained than fully heterogeneous models.",
  "cite_key": "Papadimitriou2021",
  "evidence": "Long-delay (5–15 s) single-unit recordings in dorsolateral PFC and frontal eye fields of two macaques during oculomotor delayed-response.",
  "effect_size": "delay duration 5–15 s",
  "text_access": "abstract_only",
  "study_system": "rhesus macaque FEF and dlPFC, two animals",
  "argument_role": "supporting",
  "replication_status": "contested",
  "claim_source_sentence": "These dynamics are more complex than the dynamics of a canonical bump attractor network model (either decaying or nondecaying) but more constrained than the dynamics of fully heterogeneous memory models.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [
    "10.1038/nn.3645",
    "10.1162/0899766054026660"
  ],
  "effect_size_source_sentence": "We recorded from neurons in the frontal eye fields and dorsolateral prefrontal cortex of 2 macaques during long (5-15 s) memory periods."
}
source_refs
[
  "paper:paper-e929cf9acfc8"
]
evidence_refs
[
  {
    "ref": "paper:paper-e929cf9acfc8"
  }
]
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"
}

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