An improved silicon neuron

We describe an improved spiking silicon neuron (SN) [6] that approximates t he dynamics of ionic currents of a real nerve cell. The improved version ha s less circuitry and fewer parameters than previous circuits thereby improv ing the spiking characteristics. We describe the differential equations gov erning the revised circuits and use them to explain the spiking properties of the SN. We also describe how to tune the parameters efficiently to bring the neuron quickly into its correct operating regime. The new neurons are sufficiently robust for operation in large networks. We demonstrate their r obustness by comparing the neuron's frequency-current curve between differe nt chips for the same set of parameter values.