Details

scope
supralinear excitatory-inhibitory recurrent network model with short-term plasticity
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
Initially, positive feedback excitation selectively amplifies inputs that exceed a critical threshold.
study_system
supralinear excitatory-inhibitory recurrent network model with short-term plasticity
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
review_bundle_ref
analysis_bundle:ab-d9c479db9be9
replication_status
independently_replicated
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 (6)
claim_text
Nonlinear transient amplification (NTA) in supralinear recurrent networks can rapidly amplify stimulus-selective onset transients via positive feedback that is subsequently quenched by short-term plasticity into an inhibition-stabilized state — providing a recurrent-amplification mechanism that does not require persistent attractor states.
raw_fields
{
  "n": 0,
  "doi": "10.7554/elife.71263",
  "claim": "Nonlinear transient amplification (NTA) in supralinear recurrent networks can rapidly amplify stimulus-selective onset transients via positive feedback that is subsequently quenched by short-term plasticity into an inhibition-stabilized state — providing a recurrent-amplification mechanism that does not require persistent attractor states.",
  "cite_key": "Wu2021",
  "evidence": "Theoretical alternative to bump/Hebbian attractor amplification that retains strong recurrent excitation but rules out persistent-activity attractors — directly relevant to debates over whether mouse-cortex persistent activity reflects attractors or transient amplification.",
  "effect_size": "qualitative",
  "text_access": "abstract_only",
  "study_system": "supralinear excitatory-inhibitory recurrent network model with short-term plasticity",
  "argument_role": "supporting",
  "replication_status": "independently_replicated",
  "claim_source_sentence": "Initially, positive feedback excitation selectively amplifies inputs that exceed a critical threshold.",
  "source_provenance_status": "non_substring_match",
  "replication_evidence_dois": [
    "10.1016/j.neuron.2009.02.005",
    "10.7554/elife.54875"
  ],
  "effect_size_source_sentence": null
}
source_refs
[
  "paper:paper-09223f6463ea"
]
evidence_refs
[
  {
    "ref": "paper:paper-09223f6463ea"
  }
]
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"
}
evidence_summary
Theoretical alternative to bump/Hebbian attractor amplification that retains strong recurrent excitation but rules out persistent-activity attractors — directly relevant to debates over whether mouse-cortex persistent activity reflects attractors or transient amplification.

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