Table of Contents Author Guidelines Submit a Manuscript
BioMed Research International
Volume 2016 (2016), Article ID 2769698, 12 pages
http://dx.doi.org/10.1155/2016/2769698
Research Article

Information in a Network of Neuronal Cells: Effect of Cell Density and Short-Term Depression

1Department of Experimental and Clinical Medicine, University of Magna Graecia, 88100 Catanzaro, Italy
2King Abdullah University of Science and Technology, Thuwal 23955-6900, Saudi Arabia
3Department of Electrical Engineering and Information Technology, University of Naples, 80125 Naples, Italy

Received 17 December 2015; Accepted 10 May 2016

Academic Editor: Maria G. Knyazeva

Copyright © 2016 Valentina Onesto et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. J. P. Crutchfield, “Between order and chaos,” Nature Physics, vol. 8, no. 1, pp. 17–24, 2012. View at Publisher · View at Google Scholar · View at Scopus
  2. J. J. Hopfield, “Neural networks and physical systems with emergent collective computational abilities,” Proceedings of the National Academy of Sciences of the United States of America, vol. 79, no. 8, pp. 2554–2558, 1982. View at Publisher · View at Google Scholar · View at MathSciNet · View at Scopus
  3. E. Kandel, J. Schwartz, and T. Jessell, Principles of Neural Science, McGraw-Hill, New York, NY, USA, 4th edition, 2000.
  4. M.-H. Kim, M. Park, K. Kang, and I. S. Choi, “Neurons on nanometric topographies: insights into neuronal behaviors in vitro,” Biomaterials Science, vol. 2, no. 2, pp. 148–155, 2014. View at Publisher · View at Google Scholar · View at Scopus
  5. G. Marinaro, R. La Rocca, A. Toma et al., “Networks of neuroblastoma cells on porous silicon substrates reveal a small world topology,” Integrative Biology, vol. 7, no. 2, pp. 184–197, 2015. View at Publisher · View at Google Scholar · View at Scopus
  6. S. H. Strogatz, “Exploring complex networks,” Nature, vol. 410, no. 6825, pp. 268–276, 2001. View at Publisher · View at Google Scholar · View at Scopus
  7. S. Ankam, M. Suryana, L. Y. Chan et al., “Substrate topography and size determine the fate of human embryonic stem cells to neuronal or glial lineage,” Acta Biomaterialia, vol. 9, no. 1, pp. 4535–4545, 2013. View at Publisher · View at Google Scholar · View at Scopus
  8. K. Baranes, N. Chejanovsky, N. Alon, A. Sharoni, and O. Shefi, “Topographic cues of nano-scale height direct neuronal growth pattern,” Biotechnology and Bioengineering, vol. 109, no. 7, pp. 1791–1797, 2012. View at Publisher · View at Google Scholar · View at Scopus
  9. A. Ferrari, M. Cecchini, A. Dhawan et al., “Nanotopographic control of neuronal polarity,” Nano Letters, vol. 11, no. 2, pp. 505–511, 2011. View at Publisher · View at Google Scholar · View at Scopus
  10. T. Limongi, F. Cesca, F. Gentile et al., “Nanostructured superhydrophobic substrates trigger the development of 3D neuronal networks,” Small, vol. 9, no. 3, pp. 402–412, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. E. Migliorini, J. Ban, G. Grenci et al., “Nanomechanics controls neuronal precursors adhesion and differentiation,” Biotechnology and Bioengineering, vol. 110, no. 8, pp. 2301–2310, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. P. Roach, T. Parker, N. Gadegaard, and M. R. Alexander, “Surface strategies for control of neuronal cell adhesion: a review,” Surface Science Reports, vol. 65, no. 6, pp. 145–173, 2010. View at Publisher · View at Google Scholar · View at Scopus
  13. C. Xie, L. Hanson, W. Xie, Z. Lin, B. Cui, and Y. Cui, “Noninvasive neuron pinning with nanopillar arrays,” Nano Letters, vol. 10, no. 10, pp. 4020–4024, 2010. View at Publisher · View at Google Scholar · View at Scopus
  14. A. Borst and F. E. Theunissen, “Information theory and neural coding,” Nature Neuroscience, vol. 2, no. 11, pp. 947–957, 1999. View at Publisher · View at Google Scholar · View at Scopus
  15. K. Friston, “The free-energy principle: a unified brain theory?” Nature Reviews Neuroscience, vol. 11, no. 2, pp. 127–138, 2010. View at Publisher · View at Google Scholar · View at Scopus
  16. R. Q. Quiroga and S. Panzeri, “Extracting information from neuronal populations: information theory and decoding approaches,” Nature Reviews Neuroscience, vol. 10, no. 3, pp. 173–185, 2009. View at Publisher · View at Google Scholar · View at Scopus
  17. S. P. Strong, R. Koberle, R. R. D. R. van Steveninck, and W. Bialek, “Entropy and information in neural spike trains,” Physical Review Letters, vol. 80, no. 1, pp. 197–200, 1998. View at Publisher · View at Google Scholar · View at Scopus
  18. D. J. Watts, Small Worlds: The Dynamics of Networks between Order and Randomness, Princeton University Press, Woodstock, UK, 2003.
  19. D. J. Watts and S. H. Strogatz, “Collective dynamics of ‘small-world’ networks,” Nature, vol. 393, no. 6684, pp. 440–442, 1998. View at Publisher · View at Google Scholar · View at Scopus
  20. R. S. Zucker and W. G. Regehr, “Short-term synaptic plasticity,” Annual Review of Physiology, vol. 64, pp. 355–405, 2002. View at Publisher · View at Google Scholar · View at Scopus
  21. G. Deco, V. K. Jirsa, P. A. Robinson, M. Breakspear, and K. Friston, “The dynamic brain: from spiking neurons to neural masses and cortical fields,” PLoS Computational Biology, vol. 4, no. 8, Article ID e1000092, 2008. View at Publisher · View at Google Scholar · View at Scopus
  22. J. De La Rocha and N. Parga, “Short-term synaptic depression causes a non-monotonic response to correlated stimuli,” The Journal of Neuroscience, vol. 25, no. 37, pp. 8416–8431, 2005. View at Publisher · View at Google Scholar · View at Scopus
  23. R. FitzHugh, “Mathematical models of threshold phenomena in the nerve membrane,” The Bulletin of Mathematical Biophysics, vol. 17, no. 4, pp. 257–278, 1955. View at Publisher · View at Google Scholar · View at Scopus
  24. A. L. Hodgkin and A. F. Huxley, “A quantitative description of membrane current and its application to conduction and excitation in nerve,” The Journal of Physiology, vol. 117, no. 4, pp. 500–544, 1952. View at Publisher · View at Google Scholar · View at Scopus
  25. L. M. Ricciardi, Diffusion Processes and Related Topics in Biology, Springer, Berlin, Germany, 1977. View at MathSciNet
  26. P. Wang and T. R. Knösche, “A realistic neural mass model of the cortex with laminar-specific connections and synaptic plasticity—evaluation with auditory habituation,” PloS ONE, vol. 8, no. 10, Article ID e77876, 2013. View at Google Scholar · View at Scopus
  27. E. T. Rolls and A. Treves, “The neuronal encoding of information in the brain,” Progress in Neurobiology, vol. 95, no. 3, pp. 448–490, 2011. View at Publisher · View at Google Scholar · View at Scopus
  28. M. V. Tsodyks and H. Markram, “The neural code between neocortical pyramidal neurons depends on neurotransmitter release probability,” Proceedings of the National Academy of Sciences of the United States of America, vol. 94, no. 2, pp. 719–723, 1997. View at Publisher · View at Google Scholar · View at Scopus
  29. E. Biffi, G. Regalia, A. Menegon, G. Ferrigno, and A. Pedrocchi, “The influence of neuronal density and maturation on network activity of hippocampal cell cultures: a methodological study,” PLoS ONE, vol. 8, no. 12, Article ID e83899, 2013. View at Publisher · View at Google Scholar · View at Scopus
  30. D. A. Wagenaar, J. Pine, and S. M. Potter, “An extremely rich repertoire of bursting patterns during the development of cortical cultures,” BMC Neuroscience, vol. 7, article 11, pp. 1–18, 2006. View at Publisher · View at Google Scholar · View at Scopus
  31. E. Cohen, M. Ivenshitz, V. Amor-Baroukh, V. Greenberger, and M. Segal, “Determinants of spontaneous activity in networks of cultured hippocampus,” Brain Research, vol. 1235, pp. 21–30, 2008. View at Publisher · View at Google Scholar · View at Scopus
  32. D. K. Cullen, M. E. Gilroy, H. R. Irons, and M. C. Laplaca, “Synapse-to-neuron ratio is inversely related to neuronal density in mature neuronal cultures,” Brain Research, vol. 1359, pp. 44–55, 2010. View at Publisher · View at Google Scholar · View at Scopus
  33. W. S. Chan, A. Sideris, J. J. Sutachan, J. V. Montoya G, T. J. J. Blanck, and E. Recio-Pinto, “Differential regulation of proliferation and neuronal differentiation in adult rat spinal cord neural stem/progenitors by ERK1/2, Akt, and PLCγ,” Frontiers in Molecular Neuroscience, vol. 6, article 23, 2013. View at Publisher · View at Google Scholar
  34. M. Mattotti, L. Micholt, D. Braeken, and D. Kovačić, “Characterization of spiral ganglion neurons cultured on silicon micro-pillar substrates for new auditory neuro-electronic interfaces,” Journal of Neural Engineering, vol. 12, no. 2, article 026001, pp. 1–12, 2015. View at Publisher · View at Google Scholar · View at Scopus
  35. J. Mitra, S. Jain, A. Sharma, and B. Basu, “Patterned growth and differentiation of neural cells on polymer derived carbon substrates with micro/nano structures in vitro,” Carbon, vol. 65, pp. 140–155, 2013. View at Publisher · View at Google Scholar · View at Scopus