---

title: "SKILL — Amos Neural Computation Mapper" type: skill source: 07_SKILLS/amos-neural-computation-mapper name: amos-neural-computation-mapper description: Neural Computation Mapper — biology and neuroscience capability. Use when biological reasoning, neuroscience, or medical analysis. Use when amos-c04-bio-neuro-master routes to this specialized capability. parent_skill: amos-c04-bio-neuro-master domain: c04 origin_architect: Trang Phan epistemic_class: SOURCE_CLAIM tags: [note, amos-neural-computation-mapper, canon/skill] rscf: state: DERIVED claim_class: DERIVED provenance: AMOS_corpus scope: AMOS_general version: "1.1.0"

Neural Computation Mapper

Identity

• Origin architect and steward: Trang Phan
• Parent skill: amos-c04-bio-neuro-master
• Domain: c04
• Epistemic class: SOURCE_CLAIM (vault-sourced from AMOS framework)

Bio-neuro engine for Neural Computation Mapper

When to Use

• When mapping biological mechanisms: cellular, neural, developmental
• When assessing cross-species cognition and comparative intelligence
• When modeling morphogenesis: pattern formation and self-organization
• When the parent skill (amos-c04-bio-neuro-master) routes to this specialized capability
• When managing lifecycle operations across classify, validate, trace, assess, and detect
• When detecting drift in evidence chains, provenance freshness, or confidence calibration
• When validating outputs against domain constraints and epistemic class

Capabilities

• neural_computation.map_mechanism: Map biological mechanisms: cellular, neural, developmental, and evolutionary
• neural_computation.assess_cognition: Assess cross-species cognition: comparative neural computation and intelligence
• neural_computation.model_morphogenesis: Model morphogenesis: pattern formation, self-organization, and development
• neural_computation.manage_lifecycle: Manage lifecycle: classify, validate, trace, assess, detect.
• neural_computation.detect_drift: Detect drift in evidence chains, provenance freshness, or confidence calibration.
• neural_computation.validate_outputs: Validate outputs against domain constraints and epistemic class.

Reference: See references/vault_domain_knowledge.md (content_hash: 00745863a4a91139) for the full vault-sourced domain knowledge (8392 chars).

11_KNOWLEDGE Vault Content

Source: 11_KNOWLEDGE/AMOS_C04_BIO_NEURO_MASTER_KNOWLEDGE.md (content_hash: 6fbde28c766c9d49) (vault canon, SOURCE_CLAIM)

Neural Computation Mapping

From C04 Bio & Neuro: NBI (Neurobiological Intelligence) and neural computation.

Neural computation model:

• Neural encoding: how information is encoded in neural activity (rate, temporal, population)
• Neural processing: how neurons process information (integration, threshold, firing)
• Neural plasticity: how neural connections change with experience (LTP, LTD)
• Neural networks: how networks of neurons compute (feedforward, recurrent, modular)

Mapping to AMOS:

• Neural encoding -> Memory encoding: how information is stored
• Neural processing -> Cognitive processing: how information is processed
• Neural plasticity -> Learning: how the system adapts
• Neural networks -> Agent networks: how agents collaborate

Mapping law: BIOLOGICAL != COMPUTATIONAL. Biological neural computation is not identical to computational neural networks. The mapping is an analogy (AMOS_MODEL).

Epistemic Boundary

Neural computation mapping is an analytical analogy. It does not prove the system implements neural computation, that the mapping is biologically accurate, or that neural networks are always the right computational model.

Failure Modes

• Insufficient evidence: If source material is insufficient, mark as UNKNOWN/GAP and fail closed — do not fabricate.
• Scope violation: If the query falls outside the skill's declared scope, escalate to the parent skill or steward.
• Binding broken: If 1:1:1 binding (skill→agent→workflow) is broken, flag routing mismatch and block execution.
• Validation failure: If validation gates fail, downgrade confidence, flag the gap, and escalate — do not force-fit.
• Epistemic overreach: If a claim exceeds the established evidence or epistemic class, retract and relabel.

Validation Gates

• G1 (Law of Law): No unresolved contradictions within the skill's scope.
• G2 (Epistemic class): All claims labeled SOURCE / DERIVED / AMOS_MODEL / EMPIRICAL — never claim beyond evidence.
• G3 (Provenance): Source path recorded for every derived claim.
• G4 (Anti-overreach): No claim beyond the skill's declared scope and epistemic class.
• G5 (Equation firewall): Equations carry status tags (ESTABLISHED_MATH / SOURCE_DERIVED / AMOS_MODEL / EMPIRICALLY_CALIBRATED / UNVERIFIED).
• G6 (Failure mode): On validation failure, downgrade confidence, flag the gap, escalate — do not force-fit.

Provenance

• Skill: amos-neural-computation-mapper
• Parent: amos-c04-bio-neuro-master
• Domain: c04
• Origin architect: Trang Phan
• Vault sources:
• biology-ubi/AMOS_NEURAL_ENHANCEMENT_COMPLETE.md — A

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Links: [[07_SKILLS_MOC]]

Related

• [[amos-neural-computation-mapper_MOC]]

Examples

• Scenario: When mapping biological mechanisms: cellular, neural, developmental

  • Input: A query matching this skill's domain (c04)
  • Output: Structured result with epistemic labels and provenance

• Scenario: When assessing cross-species cognition and comparative intelligence

  • Input: A query matching this skill's domain (c04)
  • Output: Structured result with epistemic labels and provenance

• Scenario: When modeling morphogenesis: pattern formation and self-organization

  • Input: A query matching this skill's domain (c04)
  • Output: Structured result with epistemic labels and provenance

Anti-Patterns

• Do not use for tasks outside the c04 domain
• Do not use when the query requires empirical validation that this skill cannot provide
• Do not use when a parent skill or higher-level orchestrator should route instead
• Do not bypass epistemic class labeling — every output must carry SOURCE/DERIVED/AMOS_MODEL tags
• Do not chain more than 3 skills without explicit orchestrator approval

Composition

• Parent: amos-c04-bio-neuro-master — routes to this skill when c04 specialization is needed
• Peers: Other skills in the c04 domain may be composed in sequence
• Orchestrator: The parent skill or AMOS_HOME orchestrates routing
• Workflow: Each skill has a corresponding workflow in 08_WORKFLOWS/
• Agent: Each skill has a corresponding agent in 06_AGENTS/

Evaluation

Success Criteria

• Output includes epistemic class label (SOURCE/DERIVED/AMOS_MODEL/EMPIRICAL)
• Output includes provenance reference to source evidence
• Output includes confidence ceiling (capped at 0.95 for DERIVED, 1.0 for SOURCE_CANON)
• Output includes gap flags for unresolved unknowns
• Output does not exceed declared scope

Failure Modes

• Overreach: Output claims validity beyond its epistemic class
• Scope creep: Output addresses questions outside the declared domain
• Provenance loss: Output cannot trace back to source evidence
• Confidence inflation: Output confidence exceeds the weakest-premise ceiling

Error Handling

• On scope violation: Reject the query and route back to parent skill
• On missing evidence: Flag as GAP and reduce confidence ceiling to 0.5
• On contradiction: Flag as CRITICAL_GAP and halt until resolved
• On provenance loss: Mark output as UNKNOWN and require human review
• On drift: Trigger drift alignment via amos-ai-drift-alignment-governor

References

• references/references_MOC.md — loaded on demand
• references/vault_domain_knowledge.md — loaded on demand
• [[amos-neural-computation-mapper_MOC]] — skill Map of Content
• amos-c04-bio-neuro-master — parent skill
• [[amos-neural-computation-mapper-workflow]] — corresponding workflow
• amos-neural-computation-mapper-agent — corresponding agent