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Neural Spike Activation in Hippocampal Cultures Using Hebbian Electrical Stimulation

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Natural and Artificial Models in Computation and Biology (IWINAC 2013)

Abstract

Electric stimulation has been widely used to induce changes in neuronal cultures coupled to microelectrode arrays (MEAs). In this paper, we used different electrical stimulation protocols on dissociated cultures of hippocampal cells for studying the electrical properties of the process. We show that persistent and synchronous stimulation of adjacent electrodes may be used for creating adjacent physical or logical connections in the connectivity graph following Hebb’s Law modifying the neural responses principal parameters.

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References

  1. Anderson, J.A., Rosenfeld, E.: Neurocomputing: Foundations of research. MIT Press (1988)

    Google Scholar 

  2. Bologna, L.L., Nieus, T., Tedesco, M., Chiappalone, M., Benfenati, F.: Low-frequency stimulation enhances burst activity in cortical cultures during development. Neuroscience 165, 692–704

    Google Scholar 

  3. Braitenberg, V.: Vehicles: experiments in synthetic psychology. MIT Press (1986)

    Google Scholar 

  4. Chao, Z.S., Bakkum, D.J., Potter, S.M.: Region-specific network plasticity in simulated and living cortical networks: comparison of the center of activity trajectory (cat) with other statistics. J. Neural. Eng. 4(3), 294–308 (2007)

    Article  MathSciNet  Google Scholar 

  5. Ide, A.N., Andruska, A., Boehler, M., Wheeler, B.C., Brewer, G.J.: Chronic network stimulation enhances evoked action potentials. J. Neural. Eng. 7(1) (February 2010)

    Google Scholar 

  6. Stegenga, J., Marani, E., Rutten, W.L.C.: Robustness of bursts in electrically stimulated neuronal networks. Journal of Neural Engineering

    Google Scholar 

  7. Jimbo, Y., Robinson, H.P., Kawana, A.: Strengthening of synchronized activity by tetanic stimulation in cortical cultures: application of planar electrode arrays. IEEE Trans. Biomed. Eng. 45(11), 1297–1304 (1998)

    Article  Google Scholar 

  8. Landweber, L., Kari, L.: The evolution of cellular computing: Nature’s solution to a computational problem. Biosystems 52(1/3), 3–13 (1999)

    Article  Google Scholar 

  9. University of Heidelberg (2006)

    Google Scholar 

  10. Ruaro, M.E., Bonifazi, P., Torre, V.: Toward the neurocomputer: image processing and pattern recognition with neuronal cultures. IEEE Trans. Biomed. Eng. 52(3), 371–383 (2005)

    Article  Google Scholar 

  11. Wagenaar, D.A., Pine, J., Potter, S.M.: Searching for plasticity in dissociated cortical cultures on multi-electrode arrays. Journal of negative results in biomedicine 52(16) (2006)

    Google Scholar 

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© 2013 Springer-Verlag Berlin Heidelberg

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Lorente, V. et al. (2013). Neural Spike Activation in Hippocampal Cultures Using Hebbian Electrical Stimulation. In: Ferrández Vicente, J.M., Álvarez Sánchez, J.R., de la Paz López, F., Toledo Moreo, F.J. (eds) Natural and Artificial Models in Computation and Biology. IWINAC 2013. Lecture Notes in Computer Science, vol 7930. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38637-4_5

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  • DOI: https://doi.org/10.1007/978-3-642-38637-4_5

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38636-7

  • Online ISBN: 978-3-642-38637-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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