Details

scope
recurrent network models compared to monkey PFC delayed-discrimination data
section_id
section_13
source_url
https://github.com/AllenNeuralDynamics/ComputationalReviewRecurrence/blob/79ce062d54a924ce05953ec90aa9d26044d2b48f/evidence/section_13_evidence_package.json
effect_size
qualitative
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
The random network does a surprisingly good job of both performing the task and matching certain aspects of the data.
study_system
recurrent network models compared to monkey PFC delayed-discrimination data
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
Comparison of three classes of recurrent-network model (organized line attractor, partially trained, random chaotic) against monkey PFC vibrotactile delayed-discrimination data.
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 (5)
claim_text
When compared with monkey PFC vibrotactile delayed-discrimination data, a randomly connected chaotic recurrent network performs the task and matches certain aspects of the data 'surprisingly' well, comparing favorably with a fine-tuned line-attractor model.
raw_fields
{
  "n": 0,
  "doi": "10.1016/j.pneurobio.2013.02.002",
  "claim": "When compared with monkey PFC vibrotactile delayed-discrimination data, a randomly connected chaotic recurrent network performs the task and matches certain aspects of the data 'surprisingly' well, comparing favorably with a fine-tuned line-attractor model.",
  "cite_key": "Barak2013",
  "evidence": "Comparison of three classes of recurrent-network model (organized line attractor, partially trained, random chaotic) against monkey PFC vibrotactile delayed-discrimination data.",
  "effect_size": "qualitative",
  "text_access": "abstract_only",
  "study_system": "recurrent network models compared to monkey PFC delayed-discrimination data",
  "argument_role": "supporting",
  "replication_status": "contested",
  "claim_source_sentence": "The random network does a surprisingly good job of both performing the task and matching certain aspects of the data.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [
    "10.1038/nn.3645",
    "10.1016/j.neuron.2013.09.024"
  ],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-d24fadcbece7"
]
evidence_refs
[
  {
    "ref": "paper:paper-d24fadcbece7"
  }
]
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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