neuron measures
every scalar the protocol attaches to a neuron, in one place. a neuron is a particle (its identity is a Hemera hash, and hashes are particles), so it carries every per-particle measure plus the per-neuron ones. this page names them, says what each measures, and points at the repo that owns the computation.
the measures
| measure | scope | what it is | type | transferable | owner |
|---|---|---|---|---|---|
| identity | neuron | Hemera hash of the neuron secret; the address, itself a particle | $\mathbb{F}_p^4$ | no | mudra |
| cyberank | particle | collective focus that lands on a node; the node's $\phi^*$ coordinate | $[0,1]$ | no | tru |
| karma | neuron | accumulated Bayesian Truth Serum score; epistemic track record | $\mathbb{R}$ | no | tru |
| focus balance | neuron | spendable energy; consumed per cyberlink (the costly signal) | $\mathbb{R}_+$ | yes | tok |
| stake | neuron | $CYB locked across the neuron's conviction boxes | $\mathbb{R}_+$ | locked | tok | |
| signals | neuron | ordered history of committed signals | list | — | cybergraph |
| conviction | cyberlink | $CYB committed to one edge (the amount $a$) | $\mathbb{R}_+$ | locked | tok | |
| valence | cyberlink | the BTS meta-prediction $v \in \{-1, 0, +1\}$ | ternary | — | cybergraph |
| syntropy share | neuron | net information the neuron added: $\sum \Delta J$ over its signals | $\mathbb{R}$ | no | tru |
two reputations, not one
a neuron carries two distinct reputational scalars, and they answer different questions:
- cyberank — reputation as attention. because the neuron's identity is a particle, the tri-kernel assigns it a $\phi^*$ coordinate like any node: how much collective focus flows to the neuron itself.
- karma — reputation as track record. the accumulated Bayesian Truth Serum score: how often the neuron's cyberlinks carried genuine private signal the crowd had not yet priced in.
cyberank can be earned by being linked-to. karma can only be earned by being right before the crowd, and cannot be bought — it is the one measure that capital cannot purchase.
the composite
three of these combine into the weight a neuron's cyberlink carries in the tri-kernel effective adjacency:
$$A^{\text{eff}}_{pq} = \sum_\ell \underbrace{\text{stake}(\ell)}_{\text{capital}} \times \underbrace{\text{karma}(\nu(\ell))}_{\text{track record}} \times \underbrace{f(\text{ICBS price}(\ell))}_{\text{market belief}}$$
capital and market belief are buyable; karma is not. this is what keeps the value function honest before Shapley attribution splits it.
the risk dial
valence is a per-cyberlink choice of risk exposure, not a fixed tax:
- $v = 0$ — passive stake. the conviction still weights the edge in $A^{\text{eff}}$, so it affects the rank, but it earns no staking reward. structure for free, yield for none.
- $v = \pm 1$ — active epistemic bet. the conviction is wagered through the BTS zero-sum and earns from it: right pays, wrong pays the right.
a neuron picks its exposure link by link. passive capital shapes the graph but extracts no rent — reward flows only to non-zero valence. this is what keeps wealth from compounding by sitting still: idle stake cannot earn, only correct risk can.
reward, in terms of these
the impulse reward a neuron mints is its Shapley share of the joint focus shift, computed on the karma-weighted effective graph and bounded by the real global $\Delta\phi^*$:
$$\text{mint}(\nu) = \text{Shapley}_\nu(v), \qquad v(S) = \Delta\phi^*\big(\text{effective graph} + S\big)$$
karma enters through the value function $v$ (so copies and noise carry near-zero marginal); Shapley splits the result fairly and conserves by its efficiency axiom. because $v(S)$ is weighted by stake, splitting one neuron into many Sybils with the same total stake yields the same total share — stake-weighting makes the attribution split-proof. identity is cheap; stake and karma are not. see cyber/rewards for the full specification.