Artículo

Este artículo esta disponible en la web de forma gratuita y puede ser descargado en su versión final
Consulte el artículo en la página del editor
Consulte la política de Acceso Abierto del editor

Registro:

Documento: Artículo
Título:Information transmission and recovery in neural communications channels
Autor:Eguia, M.C.; Rabinovich, M.I.; Abarbanel, H.D.I.
Filiación:Institute for Nonlinear Science, University of California San Diego, 9500 Gilman Drive, La Jolla, CA, 92093-0402, United States
Departamento de Física, FCEN Universidad de Buenos Aires, Ciudad Universitaria, Pab. I, Buenos Aires, 1428, Argentina
Department of Physics and Marine Physical Laboratory, Scripps Institution of Oceanography, University of California San Diego, La Jolla, CA, 92093-0402, United States
Palabras clave:Chaos theory; Lyapunov methods; Mathematical models; Neurophysiology; Statistical mechanics; Biological neural communications channels; Neural networks; action potential; biological model; information science; nerve cell network; physiology; sensory nerve cell; synapse; synaptic transmission; Action Potentials; Information Theory; Models, Neurological; Nerve Net; Neurons, Afferent; Synapses; Synaptic Transmission
Año:2000
Volumen:62
Número:5
Página de inicio:7111
Página de fin:7122
DOI: http://dx.doi.org/10.1103/PhysRevE.62.7111
Título revista:Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics
Título revista abreviado:Phys Rev E.
ISSN:1063651X
PDF:https://bibliotecadigital.exactas.uba.ar/download/paper/paper_1063651X_v62_n5_p7111_Eguia.pdf
Registro:https://bibliotecadigital.exactas.uba.ar/collection/paper/document/paper_1063651X_v62_n5_p7111_Eguia

Referencias:

  • Abarbanel, H.D.I., (1996) Analysis of Observed Chaotic Data, , Springer, New York
  • Rieke, F., Warland, D., Bialek, W., (1997) R de Ruyter van Steveninck, Spikes: Exploring the Neural Code, , MIT Press, Cambridge
  • MacKay, D.M., McCulloch, W.S., (1952) Bull. Math. Biophys., 14, p. 127
  • Stein, R.B., (1967) Biophys. J., 7, p. 797
  • Eckhorn, R., Pöpel, B., (1974) Kybernetik, 16, p. 191
  • Borst, A., Theunissen, F., (1999) Nat. Neurosci., 2, p. 947
  • Theunissen, F., Cooper Roddey, J., Stufflebeam, S., Clague, H., Miller, J.P., (1996) J. Neurophysiol., 75, p. 1345
  • Buracas, G.T., Zador, A.M., DeWeese, M.R., Albright, T.D., (1998) Neuron, 20, p. 959
  • Wessel, R., Koch, C., Gabbiani, F., (1996) J. Neurophysiol., 75, p. 2280
  • Eggermont, J.J., (1998) Neurosci. Biobehav Rev., 22, p. 355
  • Adrian, E.D., (1926) J. Physiol. (London), 61, p. 49
  • Mainen, Z.F., Sejnowski, T.J., (1995) Science, 268, p. 1503
  • Hopfield, J.J., (1995) Nature (London), 376, p. 33
  • Lisman, J.E., (1997) Trends Neurosci., 20, p. 38
  • Strong, S.P., Koberle, R., de Ruyter van Steveninck, R., Bialek, W., (1998) Phys. Rev. Lett., 80, p. 197
  • La Rosa, M., Rabinovich, M.I., Huerta, R., Abarbanel, H.D.I., Fortuna, L., (2000) Phys. Lett. A, 266, p. 88
  • Kolmogorov, A.N., (1956) IRE Trans. Inf. Theory, 2, p. 102
  • Shannon, C.E., Weaver, W., (1949) The Mathematical Theory of Communication, , Univ. of Illinois Press, Urbana
  • Hindmarsh, J.L., Rose, R.M., (1984) Proc. R. Soc. London, Ser. B, 221, p. 87
  • Rose, R.M., Hindmarsh, J.L., (1985) Proc. R. Soc. London, Ser. B, 225, p. 161
  • Pinto, R.D., Varona, P., Volkovskii, A.R., Szücs, A., Abarbanel, H.D.I., Rabinovich, M.I., (2000) Phys. Rev. E, 62, p. 2644
  • Alexander, J.C., Doedel, E.J., Otmer, H.G., (1990) SIAM (Soc. Ind. Appl. Math.) J. Appl. Math., 50, p. 1373
  • Destexhe, A., Mainen, Z.F., Sejnowski, T.J., (1994) Neural Comput., 6, p. 14
  • Panzeri, S., Treves, A., (1996) Network, 7, p. 87
  • Roulston, M.S., (1999) Physica D, 125, p. 285
  • Pikovsky, A.S., Kurths, J., (1997) Phys. Rev. Lett., 78, p. 775
  • Bulsara, A., Zador, A., (1996) Phys. Rev. E, 54, pp. R2185
  • Heneghan, C., Chow, C.C., Collins, J.J., Imhoff, T.T., Lowen, S.B., Teich, M.C., (1996) Phys. Rev. E, 54, pp. R2228
  • M.I. Rabinovich, R. Huerta, A. Volkovskii, H.D.I. Abarabanel, and G. Laurent, “Sensory coding with dynamically competitive networks.” Available at http://arXiv.org/abs/neuro-sys/9905002v2 (1999); Schreiber, T., “Measuring information transfer.” Available at http://arXiv.org/abs/nlin/0001042 (2000); Schiff, S.J., So, P., Chang, T., Burke, R.E., Sauer, T., (1996) Phys. Rev. E, 54, p. 6708
  • Güttinger, W., (1972) Int. J. Neurosci., 3, p. 61

Citas:

---------- APA ----------
Eguia, M.C., Rabinovich, M.I. & Abarbanel, H.D.I. (2000) . Information transmission and recovery in neural communications channels. Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, 62(5), 7111-7122.
http://dx.doi.org/10.1103/PhysRevE.62.7111
---------- CHICAGO ----------
Eguia, M.C., Rabinovich, M.I., Abarbanel, H.D.I. "Information transmission and recovery in neural communications channels" . Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics 62, no. 5 (2000) : 7111-7122.
http://dx.doi.org/10.1103/PhysRevE.62.7111
---------- MLA ----------
Eguia, M.C., Rabinovich, M.I., Abarbanel, H.D.I. "Information transmission and recovery in neural communications channels" . Physical Review E - Statistical Physics, Plasmas, Fluids, and Related Interdisciplinary Topics, vol. 62, no. 5, 2000, pp. 7111-7122.
http://dx.doi.org/10.1103/PhysRevE.62.7111
---------- VANCOUVER ----------
Eguia, M.C., Rabinovich, M.I., Abarbanel, H.D.I. Information transmission and recovery in neural communications channels. Phys Rev E. 2000;62(5):7111-7122.
http://dx.doi.org/10.1103/PhysRevE.62.7111