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Analysis of Electroreception with Temporal Code-Driven Stimulation

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Advances in Computational Intelligence (IWANN 2017)

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Abstract

Temporal code-driven stimulation is a new closed-loop stimulation method for information processing research in biological systems. The biological signal is processed and an event-based binary digitization is performed in real time. Patterns of temporal activity in the system are matched with binary codes and stimulation is triggered after the detection of a predetermined code. This paper presents the characteristics of this closed-loop methodology together with novel analytical possibilities derived from using an information-theoretic approach. The implementation of this method for its application to the study of coding schemes in fish electroreception is presented. Finally, our preliminary results showed that code-driven stimulation decreases the discharge frequency of the electric fish and increases the probability of sparser codes. The relation between those two measures can be used to assess the analysis of factors involved in the information processing in the system.

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References

  • Baker, C.A., Kohashi, T., Lyons-Warren, A.M., Ma, X., Carlson, B.A.: Multiplexed temporal coding of electric communication signals in mormyrid fishes. J. Exp. Biol. 216(13), 2365–2379 (2013)

    Article  Google Scholar 

  • Benda, J., Gollisch, T., Machens, C.K., Herz, A.V.: From response to stimulus: adaptive sampling in sensory physiology. Curr. Opin. Neurobiol. 17(4), 430–436 (2007)

    Article  Google Scholar 

  • Berényi, A., Belluscio, M., Mao, D., Buzsáki, G.: Closed-loop control of epilepsy by transcranial electrical stimulation. Science 337(6095), 735–737 (2012)

    Article  Google Scholar 

  • Biró, I., Giugliano, M.A.: Reconfigurable visual-programming library for real-time closed-loop cellular electrophysiology. Front. Neuroinform. 9, 14095–14106 (2015)

    Article  Google Scholar 

  • Bullock, T.H., Hopkins, C.D., Fay, R.R.: Electroreception, vol. 21. Springer Science & Business Media, Berlin (2006)

    Google Scholar 

  • Caputi, A.A., Castelló, M.E., Aguilera, P., Trujillo-Cenóz, O.: Electrolocation and electrocommunication in pulse gymnotids: signal carriers, pre-receptor mechanisms and the electrosensory mosaic. J. Physiol.-Paris 96(5), 493–505 (2002)

    Article  Google Scholar 

  • Carlson, B.A.: Electric signaling behavior and the mechanisms of electric organ discharge production in mormyrid fish. J. Physiol.-Paris 96(5), 405–419 (2002)

    Article  Google Scholar 

  • Carlson, B.A., Gallant, J.R.: From sequence to spike to spark: evo-devo-neuroethology of electric communication in mormyrid fishes. J. Neurogenet. 27(3), 106–129 (2013)

    Article  Google Scholar 

  • Chamorro, P., Muñiz, C., Levi, R., Arroyo, D., Rodríguez, F.B., Varona, P.: Generalization of the dynamic clamp concept in neurophysiology and behavior. PLoS ONE 7(7), e40887 (2012)

    Article  Google Scholar 

  • Cleveland, W.S.: Visualizing Data. Hobart Press, Summit (1993)

    Google Scholar 

  • DiMattina, C., Zhang, K.: Active data collection for efficient estimation and comparison of nonlinear neural models. Neural Comput. 23(9), 2242–2288 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  • DiMattina, C., Zhang, K.: Adaptive stimulus optimization for sensory systems neuroscience. In: Closing the Loop Around Neural Systems, p. 258 (2014)

    Google Scholar 

  • Ehrens, D., Sritharan, D., Sarma, S.V.: Closed-loop control of a fragile network: application to seizure-like dynamics of an epilepsy model. Front. Neurosci. 9, 58 (2015)

    Article  Google Scholar 

  • El Hady, A.: Closed Loop Neuroscience. Academic Press, Cambridge (2016)

    Google Scholar 

  • Forlim, C.G., Pinto, R.D.: Automatic realistic real time stimulation/recording in weakly electric fish: long time behavior characterization in freely swimming fish and stimuli discrimination. PLoS ONE 9(1), e84885 (2014)

    Article  Google Scholar 

  • Forlim, C.G., Pinto, R.D., Varona, P., Rodríguez, F.B.: Delay-dependent response in weakly electric fish under closed-loop pulse stimulation. PLoS ONE 10(10), e0141007 (2015)

    Article  Google Scholar 

  • Jun, J.J., Longtin, A., Maler, L.: Precision measurement of electric organ discharge timing from freely moving weakly electric fish. J. Neurophysiol. 107(7), 1996–2007 (2012)

    Article  Google Scholar 

  • Kramer, B.: Electric and motor responses of the weakly electric fish, gnathonemus petersii (mormyridae), to play-back of social signals. Behav. Ecol. Sociobiol. 6(1), 67–79 (1979)

    Article  Google Scholar 

  • Lareo, A., Forlim, C.G., Pinto, R.D., Varona, P., Rodríguez, F.B.: Temporal code-driven stimulation: definition and application to electric fish signaling. Front. Neuroinform. 10 (2016)

    Google Scholar 

  • Madhav, M.S., Stamper, S.A., Fortune, E.S., Cowan, N.J.: Closed-loop stabilization of the jamming avoidance response reveals its locally unstable and globally nonlinear dynamics. J. Exp. Biol. 216(22), 4272–4284 (2013)

    Article  Google Scholar 

  • Muñiz, C., Arganda, S., Borja Rodríguez, F., Polavieja, G.G.: Realistic stimulation through advanced dynamic-clamp protocols. In: Mira, J., Álvarez, J.R. (eds.) IWINAC 2005. LNCS, vol. 3561, pp. 95–105. Springer, Heidelberg (2005). doi:10.1007/11499220_10

    Chapter  Google Scholar 

  • Muñiz, C., de Borja Rodríguez, F., Varona, P.: Rtbiomanager: a software platform to expand the applications of real-time technology in neuroscience. BMC Neurosci. 10(1), 1 (2009)

    Article  Google Scholar 

  • Muñiz, C., Forlim, C.G., Guariento, R.T., Pinto, R.D., Rodríguez, F.B., Varona, P.: Online video tracking for activity-dependent stimulation in neuroethology. BMC Neurosci. 12(1), 1 (2011)

    Article  Google Scholar 

  • Muñiz, C., Levi, R., Benkrid, M., Rodríguez, F.B., Varona, P.: Real-time control of stepper motors for mechano-sensory stimulation. J. Neurosci. Methods 172(1), 105–111 (2008)

    Article  Google Scholar 

  • Potter, S.M., El Hady, A., Fetz, E.E.: Closed-loop neuroscience and neuroengineering. In: Closing the Loop Around Neural Systems, p. 7 (2014)

    Google Scholar 

  • Roth, E., Sponberg, S., Cowan, N.: A comparative approach to closed-loop computation. Curr. Opin. Neurobiol. 25, 54–62 (2014)

    Article  Google Scholar 

  • Schiff, S.J.: Neural Control Engineering: The Emerging Intersection Between Control Theory and Neuroscience. MIT Press, Cambridge (2012)

    Google Scholar 

  • Von der Emde, G., Behr, K., Bouton, B., Engelmann, J., Fetz, S., Folde, C.: 3-dimensional scene perception during active electrolocation in a weakly electric pulse fish. Front. Behav. Neurosci. 4, 26 (2010)

    Google Scholar 

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Acknowledgments

This work was funded by Spanish projects of Ministerio de Economía y Competitividad/FEDER TIN-2010-19607, TIN2014-54580-R, TIN-2012-30883, DPI2015-65833-P (http://www.mineco.gob.es/), ONRG grant N62909-14-1-N279, Brazilian Agency of Conselho Nacional de Desenvolvimento Científico e Tecnológico (http://www.cnpq.br/) and Fundação de Amparo à Pesquisa do Estado de São Paulo (www.fapesp.br). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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Correspondence to Ángel Lareo or Francisco B. Rodríguez .

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Lareo, Á., Forlim, C.G., Pinto, R.D., Varona, P., Rodríguez, F.B. (2017). Analysis of Electroreception with Temporal Code-Driven Stimulation. In: Rojas, I., Joya, G., Catala, A. (eds) Advances in Computational Intelligence. IWANN 2017. Lecture Notes in Computer Science(), vol 10305. Springer, Cham. https://doi.org/10.1007/978-3-319-59153-7_9

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  • DOI: https://doi.org/10.1007/978-3-319-59153-7_9

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