Neuron asset is the asset synthesized through the combination of each layer. It allows maximizing the asset value more than the single custodial asset and non-custodial asset and enabling the prediction of transparent profits based on the real economy. Neuron asset’s value is expressed by separating into net asset value and profits value.

Asset Value Layer

Net Asset Value
The net asset value of a neuron asset assess using the combined (pair) ratio between the net assets.

Profit Value
The profit value of a neuron asset refers to the value at the point of profit, and the profit value varies depending on the transferring speed of the asset and the agency and affiliated stores contents connected to each functional layer. The net asset value also changes accordingly.

Function Layer

Transfer function
It is a function to transfer custodial and non-custodial synthetic token assets, and to verify the success of token transfer through token transfer events.

Activation function
It serve as an entrance for the transfer of custodial and non-custodial synthetic token assets, and disables the transfer if the proportion does not match after checking the proportion of the custodial assets before the transfer of the token. It is a function to lock-on the withdrawal of the central bank account during the transfer function processing and to lock-off when the transfer function is completed.

Prediciton function
The function of predicting and delivering proportions during trasfer of custodial and non-custodial tokens to neuron assets in other perceptrons to prevent risk from changes in the proportion of custodial and non-custodial assets.

Governance Layer

Governance processors are formed by bundles of assets that are matched to synthetic assets. The priority decision of governance at first point is the asset with the highest net asset value among the matched asset bundles. After market formation, the assets with the highest profit value among the matched asset bundles will have priority, and the content connections of the agencies and merchants using the synthetic assets of that governance will also affect. Through this, it is possible to create another profits value through continuous content flow into governance, and fair governance priorities can be masked through the governance process.

Incentive Layer

In order for the platform to grow the suitable reward for contributions to the platform is required. Affiliated stores and agencies that use and consume synthetic assets and governance contributors connected to them are given appropriate incentives accordingly.

Staking Layer

The governance of synthetic assets allows you to decide whether to staking, tokens and rewards. Synthetic assets’ direct staking is impossible, but staking is possible through matched asset bundles and follows the hybrid proof-of-stake mechanism of synthetic assets. Staking assets are used in the contents of agencies and affiliated stores and are compensated according to the large and small fees.

Assets Savings and Interest Layer

The interest on savings from synthetic assets is equal to the rate of interest generated by the application of traditional financing interest rates. Rewards of custodial and non-cutodial assets is compensated in the following form. The custodial asset forms the interest rate of traditional finance and the non-custodial asset forms the interest rate of BTC, ETH and BNB.