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physical-nn-nonlinearity-amplification-suppression - Design physical neural networks with three essential features

Provides design guidance and simulation frameworks for physical neural networks combining nonlinearity, signal amplification, and suppression.

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Updated: 2026-09-17

Capabilities

Typical Inputs

Typical Outputs

What this skill does

  • Simulate physical neural network dynamics
  • Design three-element physical circuit topologies
  • Evaluate physical substrates for learning
  • Calculate EP stability conditions

Inputs

  • Physical substrate parameters
  • Network topology specifications
  • Noise floor and gain constraints

Outputs

  • Circuit topology design specifications
  • Stability condition analytical formulas
  • Task performance comparison metrics

Requirements

  • Dynamical system simulation framework
  • Analog circuit simulation tool

Source

  • Spec: SKILL.md

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physical-neural-networks
neuromorphic-computing
equilibrium-propagation
analog-circuits
energy-efficient-ai
Simulate physical neural network dynamics
Design three-element physical circuit topologies
Evaluate physical substrates for learning
Calculate EP stability conditions
Physical substrate parameters
Network topology specifications
Noise floor and gain constraints
Circuit topology design specifications
Stability condition analytical formulas
Task performance comparison metrics