Modelling of a circuit using ISFET(Ion Sensitive FET) for Obtaining Neuronal Signals
Abstract
Years ago, in 1952 Sir Alan Hodgkin and Sir Andrew Huxley had carried out experiments on a single neuron membrane to study the electrophysiological nature of a neuron. Hodgkin and Huxley have developed a electronic circuit which describes the biophysical nature of a neuron. In this paper, a new neuron model will be developed to generate the biophysical signals generated in a single neuron. Here, NEUROAchFET has been used as an analog of potassium and sodium conductance. NEUROAchFET is a ion sensitive field effect transistor which is compatible in biological environment since ionic exchange involves in the electrophysiological nature of a neuron. This circuit can be used to simulate conductance of sodium and potassium with respect to time and voltage . Individual current of sodium and potassium with variance with time can be observed in PSPICE. The action potential generated in the NEUROAchFET circuit agrees with the available literature and with Hodgkin-Huxley model results. The results have been compared and they are found to be similar.Furthermore, this circuit can be used as a medical tool to detect any abnormalities in the electrophysiological nature of the neuron and the cause behind it. It can be used as teaching tool and for stimulating action potential.
References
Barik, M.A., Deka, R. & Dutta, J.C., 2016. Carbon Nanotube-Based Dual-Gated Junctionless Field-Effect
Transistor for Acetylcholine Detection. IEEE Sensors Journal, 16(2) :280 -286.
Brading, A., Bülbring, E. & Tomita, T., 1969. The effect of sodium and calcium on the action potential of
the smooth muscle of the guinea-pig taenia coli. The Journal of physiology, 200(3) :637.
Cole, K.S. & Hodgkin, A.L., 1939. Membrane and protoplasm resistance in the squid giant axon. The Journal
of general physiology, 22(5):671- 687.
Fitzhugh, R., 1960. Thresholds and plateaus in the Hodgkin-Huxley nerve equations. The Journal of general
physiology, 43(5) :867- 896.
Gerstner, W. &Kistler, W.M., 2002.Spiking Neuron Models: Single Neurons, Population, Plasticity.
Cambridge University Press.
Gotoh, M., Tamiya, E., Momoi, M., Kagawa, Y. &Karube, I., 1987. Acetylcholine sensor based on ion
sensitive field effect transistor and acetylcholine receptor. Analytical Letters, 20(6):857 -870.
Harmon, L.D. &Lewis, R., 1960. Neural modeling. Physiol Rev., 48:513 -591.
Hodgkin, A.L. &Huxley, A.F., 1952. A quantitative description of membrane current and its application to
conduction and excitation in nerve. The Journal of physiology, 117(4) :500.
Hodgkin, A.L. &Huxley, A.F., 1952. Currents carried by sodium and potassium ions through the membrane
of the giant axon of Loligo. The Journal of physiology, 116(4) :449.
Hodgkin, A.L. & Huxley, A.F., 1952. The components of membrane conductance in the giant axon of
Loligo, J. Physiol, 116 : 473 -496.
Hodgkin, A.L. &Huxley ,A.F.,1952. The dual effect of membrane potential on sodium conductance in the
giant axon of Loligo. J. Physiol ,116 :497 -506.
Hodgkin, A.L., 1957. Ionic movements and electrical activity in giant nerve fibers. In Proc. Roy. Soc.
(London), Set. B ,148: 1.
Izhikevich, E.M., 2003. Simple model of spiking neurons. IEEE Transactions on neural networks, 14(6)
:1569 -1572.
Johnson, R.N. & Hanna, G.R., 1969. Membrane model: A single transistor analog of excitable
membrane. Journal of theoretical biology, 22(3), pp.401- 411.
Kim, M., Kinnon, D.M., Carthy, T.M., Rosat, B. &Kinnon,D.M .,2015.Regulatory Evolution and Voltage-
Gated Ion Channel Expression in Squid Axon: Selection Mutation Balance and Fitness Cliffs. PLOS One.
(4).
Lapicque, L., 1907.Introduction of the Integrate-and-Fire model of neuron. J. Physiol. Pathol. Gen, 9(1):620-
Lewis, E.R., 1966.Neuroelectric potentials derived from an extended version of the Hodgkin-Huxley
model. Journal of theoretical biology, 10(1) :125IN1153- 152IN3158
Lewis, E.R., 1968. Using electronic circuits to model simple neuroelectric interactions. Proceedings of the
IEEE, 56(6) :931- 949.
Masanotti, D., Taylor, J. &Langlois, P., 2006. PSPICE models of excitable membranes. In International
Conference on Signals and Electronic Systems, ICSES›06, University of Bath : 419- 422.
McKenna, T.M., Davis, J.L. Zornetzer & S.F. eds., 2014. Single neuron computation. Academic Press.
Miller, R.N. &Rinzel, J., 1981. The dependence of impulse propagation speed on firing frequency, dispersion,
for the Hodgkin-Huxley model. Biophysical Journal, 34(2) :227 -259.
Morris, C. &Lecar, H., 1981. Voltage oscillations in the barnacle giant muscle fiber. Biophysical
journal, 35(1) :193- 213.
Press, W.H., Teokolsky, S.A.,Vetterling, W.T. &Flannery, B.P.,2007. The Art of Scientific Computing.
Cambridge University Press.
Rinzel, J. &Miller, R.N., 1980. Numerical calculation of stable and unstable periodic solutions to the
Hodgkin-Huxley equations. Mathematical Biosciences, 49(1- 2) :27- 59.
Roy, G., 1972. A simple electronic analog of the squid axon membrane: The neurofet. IEEE Transactions on
Biomedical Engineering, (1) :60 -63.
Xu, J., Horn, J., Iwamoto, M. &Root, D.E., 2010, May. Large-signal FET model with multiple time scale
dynamics from nonlinear vector network analyzer data. In Microwave Symposium Digest (MTT), 2010
IEEE MTT-S International : 417- 420.