Hardware implementation of deep brain stimulator on a biophysical neural population model
Proceedings of the International Joint Conference on Neural Networks
In this paper we propose a hardware implementation of a new deep brain stimulator that is able to desynchronize an abnormally synchronized neural population model. The proposed stimulator is based on a delay feedback technique and is applied on a population of neurons described with Izhikevich model. The whole structure of the stimulator and the neural population model are first simulated in software and then implemented on hardware FPGA platform. The results of software/hardware simulation/implementation show that the proposed stimulator has a good performance and is able to desynchronize a hyper-synchronized neuronal population model.
Karami, Ehsan; Ahmadi, Arash; Ahmadi, Majid; and Saif, Mehrdad. (2016). Hardware implementation of deep brain stimulator on a biophysical neural population model. Proceedings of the International Joint Conference on Neural Networks, 2016-October, 4695-4700.