We first present efficient digital implementation of thalamocortical neuron model.
Modified thalamocortical neuron model is proposed for a convenient implementation.
This model can decrease the resource cost while retaining the biological dynamics.
A digital thalamocortical model-based controller is designed using the modified model.
The control platform can be applied in real-time control of Parkinson׳s disease.