core.md

Module: src/core

Responsibilities

• Define model behavior (BackpropMLP, PredictiveCodingNetwork, CircadianPredictiveCodingNetwork)
• Define ResNet-50 benchmark variants (BackpropResNet50Classifier, PredictiveCodingResNet50Classifier, CircadianPredictiveCodingResNet50Classifier)
• Implement circadian mechanisms such as chemical gating, reward-modulated wake updates, and adaptive sleep budgeting
• Provide activation utilities
• Define neuron adaptation interfaces and traffic summaries

Inputs / Outputs

• Inputs: numeric arrays, model hyperparameters
• Outputs: model predictions, train-step metrics, traffic summaries

Non-Responsibilities

• CLI handling
• Environment configuration
• Dataset generation and external IO