the one who links. agent with stake, identity, and will to shape the cybergraph
human, AI, sensor, or prog — anything that can prove a signature or act within consensus. identity = hash of public key. a neuron uses spell to sign and cast signals
creates cyberlinks. pays focus. earns karma. each link is a costly signal — the cost is what makes learning real
active agency
a neuron is an active participant, not a passive observer. the difference matters: a passive observer records what happens. a neuron changes the cybergraph by linking, spends finite focus to do it, and faces consequences through karma
the intelligence loop runs through every neuron: observation → decision → cyberlink → tri-kernel recomputes → observation again. each cycle is a choice with economic weight. this is what makes collective learning real — every signal is backed by stake
see cybergraph/neuron/tools for software to create and use neurons
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