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Efficiency of different neuronal codes: Information transfer calculations for three different neuronal systems

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Abstract

Information calculations were performed using different codes for the same neuronal impulse data. Under various stimulus conditions the data were obtained from first, second and fourth order neurons (muscle spindles, neurons of the dorsal spino-cerebellar tract and principal cells of the lateral geniculate body of the cat) which had different transneuronal couplings between input and output. A code matched approximately to the signal transfer properties of the investigated neuronal systems was applied. This code was realized by performing a time-weighted average of the input signal with the weighting function being derived from the cross-correlation between the neuronal input and output. Computations of the transinformation using this weighted-average code and the rate code (“frequency code”) were carried out to show the loss of transinformation due to restrictions in these codes. This loss was determined by comparison with calculations without code restrictions (signal code). In all computations the weighted-average code yielded results ranging from 90 to 99% of those of the signal code. This demonstrates that nearly all information is transmitted by the linear part of the coupling. The results of the rate code did not approximate those of the signal code as closely (5–92%) as in the case of the weighted-average code indicating an unreliability in the rate code when applied to transneuronal signal transmission. Reasons for this unreliability are discussed.

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References

  • Adrian, E.D.: The basis of sensation. London: Christopher 1928

    Google Scholar 

  • Ash, R.: Information theory. New York, London, Sydney: John Wiley and Sons 1965

    Google Scholar 

  • Bullock, T.H.: Representation of information in neurons and sites for molecular participation. Proc. nat. Acad. Sci. 60, 1058–1068 (1968)

    Google Scholar 

  • Eckhorn, R., Pöpel, B.: Statistical network analysis of cat lateral geniculate body: cross correlation and rate of transinformation. Pflügers Arch. ges. Physiol. (Suppl.) 335 R85 (1972)

  • Eckhorn, R., Pöpel, B.: Information theoretical analysis of the transmission of optical signals by the cat's visual system. Pflügers Arch. ges. Physiol. (Suppl.) 343, R 92 (1973)

    Google Scholar 

  • Eckhorn, R., Pöpel, B.: Rigorous and extended application of information theory to the afferent visual system of the cat. I. Basic concepts. Kybernetik 16, 191–200 (1974)

    Google Scholar 

  • Eckhorn, R., Pöpel, B.: Rigorous and extended application of information theory to the afferent visual system of the cat. II. Experimental results. Biol. Cybernetics 17, 7–17 (1975)

    Google Scholar 

  • Eysel, U.Th., Grüsser, O.-J., Pecci-Saavedra, J.: Signal transmission through degenerating synapses in the lateral geniculate body of the cat. Brain Res. 76, 49–70 (1974)

    Google Scholar 

  • Eysel, U.Th.: Quantitative studies of intracellular postsynaptic potentials in the lateral geniculate nucleus of the cat. I. Amplitudes, latencies, and the time course of the responses to optic tract stimuli. Submitted for publication (1975)

  • Eysel, U.Th., Grüsser, O.-J.: Intracellular postsynaptic potentials of cat lateral geniculate cells and the effects of degeneration of the optic terminals. Brain Res. 98, 441–455 (1975)

    Google Scholar 

  • Färber, G.: Berechnung und Messung des Informationsflusses der Nervenfaser. Kybernetik 5, 17–29 (1968)

    Google Scholar 

  • Grüsser, O.-J.: Die Informationskapazität einzelner Nervenzellen für die Signalübermittlung im Zentralnervensystem. Kybernetik 1, 209–211 (1962)

    Google Scholar 

  • Grüsser, O.-J., Hellner, K.A., Grüsser-Cornehls, U.: Die Informationsübertragung im afferenten visuellen System. Kybernetik 1, 175–192 (1962)

    Google Scholar 

  • Grüsser, O.-J.: Informationstheorie und die Signalverarbeitung in den Sinnesorganen und im Nervensystem. Naturwissenschaften 59, 436–447 (1972)

    Google Scholar 

  • Grüsser, O.-J., Kröller, J.: The effect of excitatory signals from single muscle spindles on the response of the dorsal spino-cerebellar tract. Pflügers Arch. ges. Physiol. (Suppl.) 343, R 76 (1973)

    Google Scholar 

  • Grüsser, O.-J., Pellnitz, K.: Stimulation of static and dynamic gamma fibers and its effect on the signal transmission of muscle spindle receptors. Pflügers Arch. ges. Physiol. (Suppl.) 343, R77 (1973)

  • Grüsser, O.-J., Kröller, J., Pellnitz, K., Querfurth, H.: Noise and the signal processing by receptors and neurons. In: Drischel, H., Dettmer, P. (Eds.): Biokybernetik V, Symposion Leipzig 1973, pp. 19–40. Jena: VEB G. Fischer 1975

    Google Scholar 

  • Lee, Y.W.: Statistical theory of communication New York, London, Sydney: John Wiley and Sons 1960

    Google Scholar 

  • Lee, Y.W., Schetzen, M.: Measurement of the Wiener kernels of a non-linear system by cross-correlation. Int. J. Control 2, 237–254 (1965)

    Google Scholar 

  • Levick, W.R., Cleland, B.G., Dubin, M.W.: Lateral geniculate neurons of cat: retinal inputs and physiology. Invest. Ophthalm. 11 302–311 (1972)

    Google Scholar 

  • MacKay, D.M., McCulloch, W.S.: The limiting information capacity of a neuronal link. Bull. math. Biophys. 14, 274–284 (1952)

    Google Scholar 

  • Matthews, P.B.C.: Mammalian muscle receptors and their control actions. London: Edward Arnold Ltd. 1972

    Google Scholar 

  • McKean, T.A., Popele, R.E., Rosenthal, N.P., Tercuolo, C.A.: The biologically relevant parameter in nerve impulse trains. Kybernetik 6, 168–170 (1970)

    Google Scholar 

  • Moore, G.P., Segundo, J.P., Perkel, D.H., Levitan, H.: Statistical signs of synaptic interactions in neurons. Biophys. J., 10, 876–900 (1970)

    Google Scholar 

  • Nakahama, H., Ishii, N., Yamamoto, M., Fujii, H.: Statistical inference on Markov process of neuronal impulse sequences. Kybernetik 15, 47–64 (1973)

    Google Scholar 

  • Perkel, D.H.: Spike trains as carriers of information. In: Quarton, G.C., Melnechuk, T., Schmitt, F.O. (Eds.): The neurosciences: a study program, pp. 587–597. New York: The Rockefeller University Press 1971

    Google Scholar 

  • Rapoport, A., Horvath, W.: The theoretical channel capacity of a single neuron as determined by various coding systems. Inform. Control 3, 335–350 (1960)

    Google Scholar 

  • Saito, K.: The synaptology and cytology of the Clarke cell in nucleus dorsalis of the cat: an electron microscopic study. J. Neurocytol. 3, 179–197 (1974)

    Google Scholar 

  • Segundo, J.P.: Communication and coding by nerve cells. In: Quarton, G.C., Melnechuk, T., Schmitt, F.O. (Eds.): The neurosciences: a study program, pp. 569–585. New York: The Rockefeller University Press 1971

    Google Scholar 

  • Shannon, C.E.: A mathematical theory of communication. Bell Syst. techn. J. 27, 379–423, 623–653 (1948)

    Google Scholar 

  • Stein, R.B.: The information capacity of nerve cells using a frequency code. Biophys. J. 7, 796–826 (1967)

    Google Scholar 

  • Stein, R. B., French, A.S.: Models for the transmission of information by nerve cells. In: Andersen, P., Jansen, J.K.S. (Eds.): Excitatory synaptic mechanisms. Proc. 5th Internat. Meeting of Neurobiologists. Oslo 1970

  • Szentágothai, J., Albert, A.: The synaptology of Clarke's column. Acta Morph. Hung 5, 43–51 (1955)

    Google Scholar 

  • Walløe, L.: On the transmission of information through sensory neurons. Biophys. J. 8, 745–763 (1970)

    Google Scholar 

  • Werner, G., Mountcastle, V.B.: Neural activity in mechanoreceptive cutaneous afferents: stimulus response relations. Weber functions and information transmission. J. Neurophysiol. 28, 359–397 (1965)

    Google Scholar 

  • Wiener, N.: Nonlinear problems in random theory. New York: John Wiley and Sons, Inc. 1958

    Google Scholar 

  • Wolfowitz, J.: Coding theorems of information theory. Berlin, Göttingen, Heidelberg, New York: Springer 1964

    Google Scholar 

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Eckhorn, R., Grüsser, O.J., Kröller, J. et al. Efficiency of different neuronal codes: Information transfer calculations for three different neuronal systems. Biol. Cybernetics 22, 49–60 (1976). https://doi.org/10.1007/BF00340232

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