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  • 1 Hungarian University of Transylvania Department of Electrical Engineering, Faculty of Technical and Human Sciences Tirgu-Mures, Sapientia Calea Sighisoarei 1C Corunca Romania
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This paper demonstrates, that input patterns can be encoded in the synaptic weights by local Hebbian delay-learning of spiking neurons (SN), where, after learning, the firing time of an output neuron reflects the distance of the evaluated pattern to its learned input pattern thus realizing a kind of RBF behavior. Furthermore, the paper shows, that temporal spike-time coding and Hebbian learning is a viable means for unsupervised computation in a network of SNs, as the network is capable of clustering realistic data. Then, two versions — with and without embedded micro-controllers — of a SNN are implemented for the aforementioned task.

  • Maass W., Natschlager T., Markram, H. Real-time computing without stable states: A new framework for neural computation based on perturbations, Neural Computation , Vol. 14, No. 11, 2002, pp. 2531–2560.

    Markram H. R.-t. c. w. s. s. A. n. f. f. n. c. b. o. p. , '' (2002 ) 14 Neural Computation : 2531 -2560.

  • Bohte S. M., Kok J. N., La Poutré H. Spike-prop: error-backpropagation in multi-layer networks of spiking neurons, Neurocomputing , Vol. 48, No. 1–4, 2002, pp. 17–37.

    Poutré H. , 'Spike-prop: error-backpropagation in multi-layer networks of spiking neurons ' (2002 ) 48 Neurocomputing : 17 -37.

    • Search Google Scholar
  • Deneve S. Bayesian inference in spiking neurons, Ed. by L. K. Saul, Y. Weiss, L. Bottou, Advances in Neural Information Processing Systems , Vol. 17, MIT Press, Cambridge, MA, 2005, pp. 353–360.

    Deneve S. , '', in Advances in Neural Information Processing Systems, Vol. 17 , (2005 ) -.

  • Rajesh P. N. R. Hierarchical bayesian inference in networks of spiking neurons, Ed. by L. K. Saul, Y. Weiss, L. Bottou, Advances in Neural Information Processing Systems , Vol. 17, MIT Press, Cambridge, MA, 2005, pp. 1113–1120.

    Rajesh P. N. R. , '', in Advances in Neural Information Processing Systems, Vol. 17 , (2005 ) -.

    • Search Google Scholar
  • Richard S. Z., Quentin J. M. H., Natarajan R., Dayan P. Probabilistic computation in spiking populations, Ed. by L. K. Saul, Y. Weiss, L. Bottou, Advances in Neural Information Processing Systems , Vol. 17, MIT Press, Cambridge, MA, 2005, pp. 1609–1616.

    Dayan P. , '', in Advances in Neural Information Processing Systems, Vol. 17 , (2005 ) -.

  • Snippe H. P. Parameter extraction from population codes: A critical assessment, Neural Computation , Vol. 8, No. 3, 1996, pp. 511–529.

    Snippe H. P. , 'Parameter extraction from population codes: A critical assessment ' (1996 ) 8 Neural Computation : 511 -529.

    • Search Google Scholar
  • Marchesi M., Orlandi G., Piazza F., Uncini, A. Fast neural networks without multipliers, IEEE Transactions on Neural Networks , Vol. 4, 1993, pp. 53–62.

    Uncini A. , 'Fast neural networks without multipliers ' (1993 ) 4 IEEE Transactions on Neural Networks : 53 -62.

    • Search Google Scholar
  • Hikawa H. Frequency-based multiplayer neural network with on-chip learning and enhanced neuron characteristics, IEEE Transactions on Neural Networks , Vol. 10, 1999, pp. 545–553.

    Hikawa H. , 'Frequency-based multiplayer neural network with on-chip learning and enhanced neuron characteristics ' (1999 ) 10 IEEE Transactions on Neural Networks : 545 -553.

    • Search Google Scholar
  • Natschläger T., Ruf B. Spatial and temporal pattern analysis via spiking neurons, Network: Comp. Neural Systems , Vol. 9, No. 3, 1998, pp. 319–332.

    Ruf B. , 'Spatial and temporal pattern analysis via spiking neurons ' (1998 ) 9 Network: Comp. Neural Systems : 319 -332.

    • Search Google Scholar
  • Bohte S. M., Kok J.N., La Poutre H. Unsupervised classification in a layered network of spiking neurons, Proceedings of IJCNN’2000 , Vol. IV, 2000, pp. 279–285.

    Poutre H. , 'Unsupervised classification in a layered network of spiking neurons ' (2000 ) IV Proceedings of IJCNN’2000 : 279 -285.

    • Search Google Scholar
  • Ed. by Omondi A. R., Rajapakse J.C., FPGA implementations of neural networks, Springer, 2006.

  • Schrauwen B., Van Campenhout J. Parallel hardware implementation of a broad class of spiking neurons using serial arithmetic, ESANN’2006 Proceedings — European Symposium on Artificial Neural Networks , Bruges (Belgium), 26–28 April 2006, pp. 623–628.

  • Bako L., Brassai S. T. Spiking neural networks built into FPGAs: Fully parallel implementations, WSEAS Transactions on Circuits and Systems , Vol. 5, No. 3, 2006, pp. 346–353.

    Brassai S. T. , 'Spiking neural networks built into FPGAs: Fully parallel implementations ' (2006 ) 5 WSEAS Transactions on Circuits and Systems : 346 -353.

    • Search Google Scholar
  • Brassai S. T., Bako L. Hardware implementation of CMAC type neural network on FPGA for command surface approximation, Acta Polytechnica Hungarica , Vol. 4, No. 3, 2007, pp. 5–16.

    Bako L. , 'Hardware implementation of CMAC type neural network on FPGA for command surface approximation ' (2007 ) 4 Acta Polytechnica Hungarica : 5 -16.

    • Search Google Scholar
  • Mate K., Szabo I., Miniature digital telemetric bioelectric recording, Pollack Periodica , Vol. 1, No. 3, 2006, pp. 115–127.

    Szabo I. , 'Miniature digital telemetric bioelectric recording ' (2006 ) 1 Pollack Periodica : 115 -127.

    • Search Google Scholar
  • Dürr F. P., Mattiussi C. Neuroevolution: from architectures to learning, Evolutionary Intelligence , Vol. 1, 2008, pp. 47–62.

    Mattiussi C. , 'Neuroevolution: from architectures to learning ' (2008 ) 1 Evolutionary Intelligence : 47 -62.

    • Search Google Scholar

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