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The Merging of Humans and Machines

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Neurotechnology, Electronics, and Informatics

Part of the book series: Springer Series in Computational Neuroscience ((NEUROSCI,volume 13))

Abstract

In this article a look is taken at some ways in which humans and machines are merging together to become one entity. A look is taken at culturing biological neurons and embodying them within a robot body, the use of implants to link a human nervous system with the internet and recent results from Turing’s Imitation Game which concentrates on differences in human communication. In each case the background is described, practical results are discussed and implications and future directions are considered.

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References

  1. Chiappalone M, Vato A, Berdondini L, Koudelka-Hep M, Martinoia S. Network dynamics and synchronous activity in cultured cortical neurons. Int J Neural Syst. 2007;17:87–103.

    Article  PubMed  Google Scholar 

  2. DeMarse T, Wagenaar D, Blau A, Potter S. The neurally controlled animat: biological brains acting with simulated bodies. Auton Robots. 2001;11:305–10.

    Article  PubMed Central  PubMed  Google Scholar 

  3. Warwick K, Nasuto S, Becerra V, Whalley B. Experiments with an in-vitro robot brain. In:~Cai~Y, editor. Computing with instinct, Lecture notes in artificial intelligence, vol. 5987. Berlin: Springer; 2010. p. 1–15.

    Google Scholar 

  4. Warwick K, Xydas D, Nasuto S, Becerra V, Hammond M, Downes J, Marshall S, Whalley B. Controlling a mobile robot with a biological brain. Defence Sci J. 2010;60(1):5–24.

    Article  Google Scholar 

  5. Xydas D, Norcott D, Warwick K, Whalley B, Nasuto S, Becerra V, Hammond M, Downes J, Marshall S. Architecture for neuronal cell control of a mobile robot. In: Proc. European Robotics Symposium 2008. Springer: Prague; 2008. pp. 23–31.

    Google Scholar 

  6. Warwick K. Implications and consequences of robots with biological brains. Ethics Inf Technol. 2010;12(3):223–34.

    Article  Google Scholar 

  7. Donoghue J, Nurmikko A, Friehs G, Black M. Development of a neuromotor prosthesis for humans, Chapter 63 in advances in clinical neurophysiology. Suppl Clin Neurophysiol. 2004;57:508–602.

    Article  Google Scholar 

  8. Hochberg LR, Serruya MD, Friehs GM, Mukand JA, Saleh M, Caplan AH, Branner A, Chen~D, Penn RD, Donoghue JP. Neuronal ensemble control of prosthetic devices by a human with tetraplegia. Nature. 2006;442:164–71.

    Article  CAS  PubMed  Google Scholar 

  9. Warwick K, Gasson M, Hutt B, Goodhew I, Kyberd P, Andrews B, Teddy P, Shad A. The application of implant technology for cybernetic systems. Arch Neurol. 2003;60(10):1369–73.

    Article  PubMed  Google Scholar 

  10. Gasson M, Hutt B, Goodhew I, Kyberd P, Warwick K. Invasive neural prosthesis for neural signal detection and nerve stimulation. Int J Adapt Control Signal Process. 2005;19(5): 365–75.

    Google Scholar 

  11. Warwick K, Gasson M. Practical interface experiments with implant technology. In: Sebe N, Lew M, Huang T, editors. Computer vision in human-computer interaction, Lecture notes in computer science, vol. 3058. Heidelberg: Springer; 2004. p. 7–16.

    Chapter  Google Scholar 

  12. Warwick K, Gasson M, Hutt B, Goodhew I, Kyberd P, Schulzrinne H, Wu X. Thought communication and control: a first step using radiotelegraphy. IEE Proc Comm. 2004;151(3):185–9.

    Article  Google Scholar 

  13. Turing A. Computing machinery and intelligence. Mind LIX. 1950;236:433–60.

    Article  Google Scholar 

  14. Copeland B. The essential Turing—the ideas that gave birth to the computer age. Oxford: Clarendon; 2004.

    Google Scholar 

  15. Shah H, Warwick K. Testing Turing’s five minutes, parallel-paired imitation game. Kybernetes. 2010;39(3):449–65.

    Article  Google Scholar 

  16. Warwick K. Not another look at the Turing test! In: Bielikova M, Friedrich G, Gottlob G, Katzenbisser S, Turan G, editors. SOFSEM 2012: theory and practice of computer science, Lecture notes in computer science, vol. 7147. Berlin: Springer; 2012. p. 130–40.

    Chapter  Google Scholar 

  17. Shah H, Warwick K. Hidden interlocutor misidentification in practical Turing tests. Minds and Machines. 2010;20(3):441–54.

    Article  Google Scholar 

  18. Warwick K, Shah H. Good machine performance in Turing’s imitation game’. IEEE Trans Comput Intell AI Games. 2013;6:289–99. doi:10.1109/TCIAIG.2013.2283538.

    Article  Google Scholar 

  19. Warwick K, Shah H, Moor J. Some implications of a sample of practical Turing tests. Minds and Machines. 2013;23(2):163–77.

    Article  Google Scholar 

  20. Warwick K, Shah H. Effects of lying in practical Turing tests. AI & Society (2014), doi:10.1007/s00146-013-0534-3

    Google Scholar 

  21. Pan S, Iplicki S, Warwick K, Aziz T. Parkinson’s disease tremor classification—a comparison between support vector machines and neural networks. Exp Syst Appl. 2012;39(12): 10764–71.

    Article  Google Scholar 

  22. Wu D, Warwick K, Ma Z, Gasson M, Burgess J, Pan S, Aziz T. Prediction of Parkinson’s disease tremor onset using a radial basis function neural network based on particle swarm optimization. Int J Neural Syst. 2010;20(2):109–16.

    Article  CAS  PubMed  Google Scholar 

  23. Warwick K, Ruiz V. On linking human and machine brains. Neurocomputing. 2006;71(13): 2619–24.

    Google Scholar 

  24. Warwick K. Cybernetic organisms: our future. Proc IEEE. 1999;87(2):387–99.

    Google Scholar 

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Author information

Authors and Affiliations

  1. School of Systems Engineering, University of Reading, Reading, UK

    Kevin Warwick

Authors
  1. Kevin Warwick
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Corresponding author

Correspondence to Kevin Warwick .

Editor information

Editors and Affiliations

  1. Faculty of Medicine, Universidade de Lisboa, Lisboa, Portugal

    Ana Rita Londral

  2. CatĂłlica Lisbon School of Business & Economics, Universidade CatĂłlica Portuguesa, Lisboa, Portugal

    Pedro Encarnação

  3. Bioengineering Group, Spanish Research Council, Arganda del Rey, Madrid, Spain

    José Luis Pons Rovira

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Warwick, K. (2015). The Merging of Humans and Machines. In: Londral, A., Encarnação, P., Rovira, J. (eds) Neurotechnology, Electronics, and Informatics. Springer Series in Computational Neuroscience, vol 13. Springer, Cham. https://doi.org/10.1007/978-3-319-15997-3_6

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