Neurotypica

How a brain scientist thinks about behaviour

Phenomena

A-ha moments outline Different person in different places outline Habits outline Style persuades Talking past each other outline The say-do-gap ✓ Thinking like the group outline Why stories stick outline

Heuristics

Bias vs Noise outline Everything is Ideology outline Input–Output Machine ✓ Links and Chunks outline Prediction Engine outline Society of Mind outline The Lazy Controller outline Top‑Down and Bottom‑Up outline

Architecture

Chunking & Binding outline Circuit Reuse ✓ Contextual Cues & Retrieval outline Hierarchical Control outline Interoception & Affect outline Networks vs Regions outline Neural Pathways ✓ Neuromodulation outline Plasticity & Stability ✓ Predictive Processing outline Reconstruction & Attribution outline Social Mapping outline Task-sets outline White Matter Support outline Working Memory & Control outline

How a brain scientist thinks about behaviour

This is a knowledge graph that maps three levels of explanation:

Phenomena

Observable patterns in everyday life. Things you might wonder about: "Why do I keep doing X even when I know better?" or "Why does this situation always trip me up?"

Heuristics

Mental shortcuts and lenses distilled from neuroscience. These are ways of thinking about how the brain organises perception, learning, and action.

Architecture

The underlying neural systems. Current understanding of how the brain and nervous system actually work—the hardware that makes everything else possible.

How to use this:

Start with a phenomenon that resonates. Read the explanation, then explore the connected heuristics to see how your brain produces that pattern. Follow the links to architecture if you want to understand the neural systems underneath. Everything connects.

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