Electronic Neuron Models as an Aid to Neurophysiological Research

Jenik, F

doi:10.1007/978-3-642-94837-4_7

Cited by 28 publications

(4 citation statements)

References 36 publications

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“…The microelectrode dimension is 30µm and recording site area is 707µm 2 [6]. Figure 11 presents the simulated result which is in well agreement with reference [5]. …”

Section: Mcgrogan's Neuron Modelsupporting

confidence: 81%

“…Positive pulses excite, negative pulses inhibit the model. McGrogan's neuron model [5] According to this model, Φm represents the membrane potential (EPSP, IPSP) but not the action potential. A positive and negative spike appears at the output.…”

Section: Mcgrogan's Neuron Modelmentioning

confidence: 99%

“…Another neuron model developed by McGrogen [5] is shown in Fig 9. This model has four transistors and it consists of a summing and integrating pulse shaper, an amplifier, a second integrating pulse shaper and a monostable multivibrator. The model is operated with dc and rectangular pulses with certain duration and amplitude.…”

Section: Mcgrogan's Neuron Modelmentioning

confidence: 99%

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Neuroelectronics and modeling of electrical signals for monitoring and control of Parkinson's disease

2009

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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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“…The microelectrode dimension is 30µm and recording site area is 707µm 2 [6]. Figure 11 presents the simulated result which is in well agreement with reference [5]. …”

Section: Mcgrogan's Neuron Modelsupporting

confidence: 81%

Section: Mcgrogan's Neuron Modelmentioning

confidence: 99%

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Neuroelectronics and modeling of electrical signals for monitoring and control of Parkinson's disease

2009

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“…Otto H. Schmitt's position is borne out further by the following quote from the 1979 article of Pellionisz [Pellionisz 79] for which it should be noted that [Schmitt 37a] follows [Schmitt 37b] on the original printed page and that [Schmitt 37a] is an abstract for a demonstration of the working circuits: "The third approach was the physical representation of highly simplified neurons by small electrical circuits (so called neuromeme: see Harmon, 1959;McGrogan, 1961;Jenik, 1962;Lewis, 1964). Although this approach received a great impetus from the widespread acceptance of the McCulloch-Pitts concept, it is actually rooted in an idea of , who created the binary-output electrical circuit that realizes threshold function (the Schmitt trigger)."…”

mentioning

confidence: 99%