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The brain and the human nervous system are perhaps the most researched but least understood components of the
human body. This is so because of the complex nature of its working and the high density of functions. The monitoring
of neural signals could help one better understand the working of the brain and newer recording and monitoring
methods have been developed ever since it was discovered that the brain communicates internally by means of electrical
pulses. Neuroelectronics is the field which deals with the interface between electronics or semiconductors to living
neurons. This includes monitoring of electrical activity from the brain as well as the development of feedback devices
for stimulation of parts of the brain for treatment of disorders. In this paper these electrical signals are modeled through
a nano/microelectrode arrays based on the electronic equivalent model using Cadence PSD 15.0. The results were
compared with those previously published models such as Kupfmuller and Jenik's model, McGrogan's Neuron Model
which are based on the Hodgkin and Huxley model. We have developed and equivalent circuit model using discrete
passive components to simulate the electrical activity of the neurons. The simulated circuit can be easily be modified by
adding some more ionic channels and the results can be used to predict necessary external stimulus needed for
stimulation of neurons affected by the Parkinson's disease (PD). Implementing such a model in PD patients could
predict the necessary voltages required for the electrical stimulation of the sub-thalamus region for the control tremor
motion.
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Ritesh R. Chintakuntla, Jose K. Abraham, Vijay K. Varadan, "Neuroelectronics and modeling of electrical signals for monitoring and control of Parkinson's disease," Proc. SPIE 7291, Nanosensors, Biosensors, and Info-Tech Sensors and Systems 2009, 72910T (31 March 2009); https://doi.org/10.1117/12.829927