1. Digital Neuron Model
For Truenorth

2. Only 1272 gates (924 gates for the model computation and 348 gates for the random number generator).
uses only simple addition and multiplexing arithmetic/logic units, avoiding complex function units such as multiplication, division, and exponentiation.
It can be implemented using only fixed-point arithmetic, avoiding complex floating-point circuitry.
Low frequency.(1kHz)
features

3. Reduce cost with low frequency
we can reuse physical arithmetic circuits, reducing the aggregate implementation area drastically.
we can power-gate, turning off power to these circuits while they are quiescent, reducing the total power consumption.
Third, the neuron can be implemented in an event-driven fashion so that its active power consumption is based on the number of spike events it has to process.
Reduce cost with low frequency

11. we present a library of functions that are computable using our neuron specification. Most can be computed with a single neuron, while other more complex functions require a few neurons.
The function library spans a wide range of different classes of operations, and accommodates a variety of spike codes including rate code, population code, binary code, time-to-spike, and rank code.
Function library