Abstract:
We present a biologically inspired electronic neuron based on a conductance model. The channels are constructed using linearly voltage controlled field effect transistors. A two channel and a three channel circuit is developed. The dynamical behavior of this system is studied, showing for the two channel circuit either class-I or class-II excitability and for the three channel circuit bursting and spike frequency adaptation. Voltage-clamp-type measurements, similar to the ones frequently used in neuroscience, are employed in order to determine the conductance characteristics of the electronic channels. We develop an empirical model based on these measurements that reproduces the different dynamical behaviors of the electronic neuron. We found that post-inhibitory rebound is present in the two channel circuit. Reliability and precision of spike timing is induced in the three channel circuit by injecting noise in the control variable of the slow channel that provides a negative feedback. The circuit is appropriate for the design of large scale electronic neural devices that can be used in mixed electronic-biological systems. ©2007 The American Physical Society.
Registro:
Documento: |
Artículo
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Título: | Versatile biologically inspired electronic neuron |
Autor: | Sitt, J.D.; Aliaga, J. |
Filiación: | Departamento de Física, Facultad de Ciencias Exactas Y Naturales, Universidad de Buenos Aires, (1428) Buenos Aires, Argentina
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Palabras clave: | Biologically inspired; Control variable; Dynamical behaviors; Electronic channels; Electronic neurons; Empirical model; Spike frequency adaptations; Voltage-controlled; Dynamics; Field effect transistors; Neurons; Timing circuits |
Año: | 2007
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Volumen: | 76
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Número: | 5
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DOI: |
http://dx.doi.org/10.1103/PhysRevE.76.051919 |
Título revista: | Physical Review E - Statistical, Nonlinear, and Soft Matter Physics
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Título revista abreviado: | Phys. Rev. E Stat. Nonlinear Soft Matter Phys.
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ISSN: | 15393755
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CODEN: | PLEEE
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Registro: | https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_15393755_v76_n5_p_Sitt |
Referencias:
- Pinto, R.D., Varona, P., Volkovskii, A.R., Szücs, A., Abarbanel, H.D.I., Rabinovich, M.I., (2000) Phys. Rev. E, 62, p. 2644
- Szücs, A., Pinto, R.D., Rabinovich, M.I., Abarbanel, H.D.I., Selverston, A.I., (2003) J. Neurophysiol., 89, p. 1363
- Szücs, A., Varona, P., Volkovskii, A.R., Abarbanel, H.D.I., Rabinovich, M.I., Selverston, A.I., (2000) J. Comput. Neurosci., 2, p. 1
- Yarom, Y., (1991) Neuroscience, 44, p. 263
- Le Masson, S., Laflaquiere, A., Bal, T., Le Masson, G., (1999) IEEE Trans. Biomed. Eng., 46, p. 638
- Simoni, M.F., Cymbalyuk, G.S., Sorensen, M.Q., Calabrese, R.L., DeWeerth, S.P., (2004) IEEE Trans. Biomed. Eng., 51, p. 342
- Jung, R., Brauer, E.J., Abbas, J.J., (2001) IEEE Trans. Neural Syst. Rehabil. Eng., 9, p. 319
- Aliaga, J., Busca, N., Minces, V., Mindlin, G.B., Pando, B., Salles, A., Sczcupak, L., (2003) Phys. Rev. E, 67, p. 061915
- Hodgkin, A.L., Huxley, A.F., (1952) J. Physiol., 117, p. 500
- Mainen, Z.F., Sejnowski, T., (1995) Science, 268, p. 1503
- Cecchi, G.A., Sigman, M., Alonso, J.M., Martinez, L., Chialvo, D.R., Magnasco, M.O., (2000) Proc. Natl. Acad. Sci. U.S.A., 97, p. 5557
- Schneidman, E., Freedman, B., Segev, I., (1998) Neural Comput., 10, p. 1679
- Carelli, P.V., Reyes, M.B., Sartorelli, J.C., Pinto, R.D., (2005) J. Neurophysiol., 94, p. 1169
- Izhikevich, E.M., (2006) Dynamical Systems in Neuroscience: The Geometry of Excitability and Bursting, , MIT Press, Massachusetts
- Keener, J., Sneyd, J., (1998) Mathematical Physiology, , Springer, New York, Chap. 3
- White, J.A., Rubinstein, J.T., Kay, A.R., (2000) Trends Neurosci., 23, p. 131
- Kandel, E.R., Schwartz, J.H., Jessell, T.M., (2000) Principles of Neural Science, , McGraw-Hill, New York
- Benda, J., Herz, A.V.M., (2003) Neural Comput., 15, p. 2523
- Bal, T., McCormick, D.A., (1997) J. Neurophysiol., 77, p. 3145
- Morisset, V., Nagy, F., (1998) Eur. J. Neurosci., 10, p. 3642
Citas:
---------- APA ----------
Sitt, J.D. & Aliaga, J.
(2007)
. Versatile biologically inspired electronic neuron. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 76(5).
http://dx.doi.org/10.1103/PhysRevE.76.051919---------- CHICAGO ----------
Sitt, J.D., Aliaga, J.
"Versatile biologically inspired electronic neuron"
. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics 76, no. 5
(2007).
http://dx.doi.org/10.1103/PhysRevE.76.051919---------- MLA ----------
Sitt, J.D., Aliaga, J.
"Versatile biologically inspired electronic neuron"
. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, vol. 76, no. 5, 2007.
http://dx.doi.org/10.1103/PhysRevE.76.051919---------- VANCOUVER ----------
Sitt, J.D., Aliaga, J. Versatile biologically inspired electronic neuron. Phys. Rev. E Stat. Nonlinear Soft Matter Phys. 2007;76(5).
http://dx.doi.org/10.1103/PhysRevE.76.051919