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Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters

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Advances in Neural Networks – ISNN 2005 (ISNN 2005)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3496))

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Abstract

We discuss Pulsed Para-Neural Networks (PPNN) defined as graphs consisting of processing nodes and directed edges, called axons, where axons are pure delays, whereas nodes are paraneurons processing spiketrains of constant amplitude. Pusles are received and produced in discrete moments of time. We consider PPNNs with two kinds of paraneurons: MEXOR-based paraneurons (producing a pulse at clock t if it received one and only one pulse at clock t-1) and counter-based paraneuron. We present a “brain” for a mobile robot as an example of practical PPNN.

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References

  1. Buller, A.: Pulsed Para-Neural Networks (PPNN): Basic Concepts and Definitions, Technical Report TR-HIS-0007, Advanced Telecommunications Research Institute International (ATR). Human Information Science Labs (2002)

    Google Scholar 

  2. Buller, A.: CAM-Brain Machines and Pulsed Para-Neural Networks (PPNN): Toward a Hardware for Future Robotic On-Board Brains. In: 8th International Symposium. on Artificial Life and Robotics (AROB 8th 2003), Beppu, Japan, January 24-26, pp. 490–493 (2003)

    Google Scholar 

  3. Buller, A., Hemmi, H., Joachimczak, M., Liu, J., Shimohara, K., Stefanski, A.: ATR Artificial Brain Project: Key Assumptions and Current State. In: 9th International Symposium on Artificial Life and Robotics (AROB 9th), Japan, January 28-30, pp. 166–169 (2004)

    Google Scholar 

  4. Buller, A., Tuli, T.S.: Four-Legged Robot.s Behavior Controlled by Pulsed Para-Neural Networks. In: Proceedings, 9th International Conference on Neural Information Processing (ICONIP 2002), vol. 1, pp. 239–242 (2002)

    Google Scholar 

  5. Buller, A., Eeckhaut, H., Joachimczak, M.: Pulsed Para-Neural Network (PPNN) synthesis in a 3-D Cellular Automata Space, Proceedings. In: 9th International Conference on Neural Information Processing (ICONIP 2002), Singapore, vol. 1, pp. 581–584 (2002)

    Google Scholar 

  6. Buller, A., Joachimczak, M., Liu, J., Stefanski, A.: Neuromazes: 3-Dimensional Spiketrain Processors. WSEAS Transactions on Computers 3, 157–161 (2004)

    Google Scholar 

  7. Buller, A., Ahson, S.I., Azim, M.: Pulsed Para-neural Networks (PPNN) Based on MEXOR Logic. In: Pal, N.R., Kasabov, N., Mudi, R.K., Pal, S., Parui, S.K. (eds.) ICONIP 2004. LNCS, vol. 3316, pp. 399–408. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  8. Eeckhaut, H., Van Campenhout, J.: Handcrafting Pulsed Neural Networks for the CAM Brain Machine. In: 8th International Symposium on Artificial Life and Robotics (AROB 8th 2003), Beppu, Japan, vol. 24-26, pp. 494–498 (2003)

    Google Scholar 

  9. Gers, F., de Garis, H., Korkin, M.: CoDi-1Bit: A Simplified Cellular Automata based Neuron Model. In: Evolution Artificiele 1997, Nimes, France, pp. 211–229 (1997)

    Google Scholar 

  10. Hecht Nielsen, R.: Neurocomputing. Addison-Wesley, Reading (1990)

    Google Scholar 

  11. Korkin, M., Fehr, G., Jeffrey, G.: Evolving Hardware on a Large Scale Proceedings. In: The Second NASA / DoD Workshop on Evolvable Hardware, Pasadena, pp. 173–81 (2000)

    Google Scholar 

  12. McCulloch, W.S., Pitts, W.: A Logical Calculus of the Ideas Immanent in Nervous Activity. Bulletin of Math. Bio. 5, 115–133 (1943)

    Article  MATH  MathSciNet  Google Scholar 

  13. Liu, J.: NeuroMazeTM: User.s Guide, Version 3.0. ATR Human Information Science Labs., Kyoto, Japan (2002)

    Google Scholar 

  14. Liu, J., Buller, A.: Evolving Spike-train Processors. In: Proceedings of Genetic and Evolutionary Comput., Part I, Seattle, WA, pp. 408–409. Springer, Heidelberg (2004)

    Chapter  Google Scholar 

  15. Sasao, T.: Switching Theory for Logic Synthesis. Kluwer Academic Publ., Boston (1999)

    MATH  Google Scholar 

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Li, J., Yin, Y. (2005). Pulsed Para-neural Networks (PPNN) Based on MEXORs and Counters. In: Wang, J., Liao, X., Yi, Z. (eds) Advances in Neural Networks – ISNN 2005. ISNN 2005. Lecture Notes in Computer Science, vol 3496. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11427391_81

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  • DOI: https://doi.org/10.1007/11427391_81

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-25912-1

  • Online ISBN: 978-3-540-32065-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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